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.