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.