Triple
T13490528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ePassport |
E318620
|
entity |
| Predicate | usesStandard |
P1587
|
FINISHED |
| Object |
Logical Data Structure (LDS)
Logical Data Structure (LDS) is the standardized data model defined by the ICAO for organizing and encoding personal and biometric information stored in electronic passports and similar machine-readable travel documents.
|
E1043720
|
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: Logical Data Structure (LDS) | Statement: [ePassport, usesStandard, Logical Data Structure (LDS)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Logical Data Structure (LDS) Context triple: [ePassport, usesStandard, Logical Data Structure (LDS)]
-
A.
LSM
LSM is an undergraduate dual-degree program at the University of Pennsylvania that integrates rigorous training in life sciences with business and management education.
-
B.
Darwin Information Typing Architecture
Darwin Information Typing Architecture (DITA) is an XML-based, topic-oriented architecture and standard for authoring, organizing, and publishing technical content in a modular and reusable way.
-
C.
Log-Structured Merge-Tree
A Log-Structured Merge-Tree (LSM-tree) is a write-optimized data structure that organizes data in sequential logs and periodically merges them to provide efficient writes and good read performance for key-value storage systems.
-
D.
Data Control Language
Data Control Language (DCL) is a subset of SQL used to define and manage access permissions and security controls on database objects.
-
E.
External Data Representation
External Data Representation (XDR) is a standard, platform-independent data serialization format used to encode and decode data structures for network communication.
- 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: Logical Data Structure (LDS) Triple: [ePassport, usesStandard, Logical Data Structure (LDS)]
Generated description
Logical Data Structure (LDS) is the standardized data model defined by the ICAO for organizing and encoding personal and biometric information stored in electronic passports and similar machine-readable travel documents.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Logical Data Structure (LDS) Target entity description: Logical Data Structure (LDS) is the standardized data model defined by the ICAO for organizing and encoding personal and biometric information stored in electronic passports and similar machine-readable travel documents.
-
A.
LSM
LSM is an undergraduate dual-degree program at the University of Pennsylvania that integrates rigorous training in life sciences with business and management education.
-
B.
Darwin Information Typing Architecture
Darwin Information Typing Architecture (DITA) is an XML-based, topic-oriented architecture and standard for authoring, organizing, and publishing technical content in a modular and reusable way.
-
C.
Log-Structured Merge-Tree
A Log-Structured Merge-Tree (LSM-tree) is a write-optimized data structure that organizes data in sequential logs and periodically merges them to provide efficient writes and good read performance for key-value storage systems.
-
D.
Data Control Language
Data Control Language (DCL) is a subset of SQL used to define and manage access permissions and security controls on database objects.
-
E.
External Data Representation
External Data Representation (XDR) is a standard, platform-independent data serialization format used to encode and decode data structures for network communication.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3cbe2081908c6792362c67c8f1 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463b758c8190abc0dd2a049d751e |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74d048250819098baf78ff08c1633 |
completed | May 3, 2026, 1:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f750f7f11481908c60b49eef65b63f |
completed | May 3, 2026, 1:43 p.m. |
Created at: April 9, 2026, 9:43 p.m.