Triple
T16946677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-129 Under Keel Clearance Management product specification |
E411084
|
entity |
| Predicate | uses |
P98
|
FINISHED |
| Object |
S-100 data encoding rules
S-100 data encoding rules are a standardized framework defined by the IHO for structuring, encoding, and exchanging modern hydrographic and marine geospatial data across various S-100-based products.
|
E1242145
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: S-100 data encoding rules | Statement: [S-129 Under Keel Clearance Management product specification, uses, S-100 data encoding rules]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S-100 data encoding rules Context triple: [S-129 Under Keel Clearance Management product specification, uses, S-100 data encoding rules]
-
A.
Octet Encoding Rules
Octet Encoding Rules (OER) is a set of ASN.1 encoding rules that represent data in a straightforward, fixed-length, and byte-aligned binary format to simplify parsing and improve efficiency.
-
B.
Scott encoding
Scott encoding is a method in lambda calculus for representing algebraic data types and their pattern matching behavior using higher-order functions.
-
C.
S-100 metadata framework
The S-100 metadata framework is an IHO-developed standard that defines a flexible, interoperable structure for describing and managing geospatial and hydrographic data within the broader S-100 universal hydrographic data model.
-
D.
Manchester encoding
Manchester encoding is a digital line code that represents each data bit with a transition in the middle of the bit period, providing both clock and data synchronization on the same signal.
-
E.
ASN.1
ASN.1 (Abstract Syntax Notation One) is a standardized, platform-independent notation used to define and encode complex data structures in telecommunications and cryptographic protocols, including X.509 certificates.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: S-100 data encoding rules Triple: [S-129 Under Keel Clearance Management product specification, uses, S-100 data encoding rules]
Generated description
S-100 data encoding rules are a standardized framework defined by the IHO for structuring, encoding, and exchanging modern hydrographic and marine geospatial data across various S-100-based products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S-100 data encoding rules Target entity description: S-100 data encoding rules are a standardized framework defined by the IHO for structuring, encoding, and exchanging modern hydrographic and marine geospatial data across various S-100-based products.
-
A.
Octet Encoding Rules
Octet Encoding Rules (OER) is a set of ASN.1 encoding rules that represent data in a straightforward, fixed-length, and byte-aligned binary format to simplify parsing and improve efficiency.
-
B.
Scott encoding
Scott encoding is a method in lambda calculus for representing algebraic data types and their pattern matching behavior using higher-order functions.
-
C.
S-100 metadata framework
The S-100 metadata framework is an IHO-developed standard that defines a flexible, interoperable structure for describing and managing geospatial and hydrographic data within the broader S-100 universal hydrographic data model.
-
D.
Manchester encoding
Manchester encoding is a digital line code that represents each data bit with a transition in the middle of the bit period, providing both clock and data synchronization on the same signal.
-
E.
ASN.1
ASN.1 (Abstract Syntax Notation One) is a standardized, platform-independent notation used to define and encode complex data structures in telecommunications and cryptographic protocols, including X.509 certificates.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb25e0c8190948e62d9575ae9cd |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfeca4208190a3b9270869063d3d |
completed | May 10, 2026, 6:35 p.m. |
| NEDg | Description generation | batch_6a00d0b13f1c819091f3f8b966e36214 |
completed | May 10, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d1ad6b7081908be76d70ad9e2075 |
completed | May 10, 2026, 6:42 p.m. |
Created at: April 10, 2026, 5:31 a.m.