Triple

T7350440
Position Surface form Disambiguated ID Type / Status
Subject MX-JAL E169484 entity
Predicate codeStructureSubdivisionPart P54482 FINISHED
Object JAL E169483 NE FINISHED

How this triple was built (3 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: JAL | Statement: [MX-JAL, codeStructureSubdivisionPart, JAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JAL
Context triple: [MX-JAL, codeStructureSubdivisionPart, JAL]
  • A. JAL chosen
    JAL is the vehicle registration code used on license plates issued in the Mexican state of Jalisco.
  • B. Japan Airlines
    Japan Airlines is the flag carrier of Japan, operating an extensive network of domestic and international flights across Asia, Europe, and the Americas.
  • C. All Nippon Airways
    All Nippon Airways is a major Japanese airline and Star Alliance member known for its extensive domestic and international route network and high service standards.
  • D. Skymark Airlines
    Skymark Airlines is a Japanese low-cost carrier based in Tokyo that operates domestic flights and some international services.
  • E. Aircalin
    Aircalin is the international airline of New Caledonia, operating regional and long-haul flights primarily across the Pacific and to Asia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: codeStructureSubdivisionPart
Context triple: [MX-JAL, codeStructureSubdivisionPart, JAL]
  • A. partOfWorkStructure
    Indicates that one work-related component, role, or task is included within or belongs to a larger organizational or work structure.
  • B. divisionOrStructure
    Indicates a relationship where one entity is an internal division, department, or structural subunit that is organizationally contained within another entity.
  • C. segmentStructure
    Indicates that one entity represents a structural or organizational subdivision (a segment) within the overall structure of another entity.
  • D. subdividedBy
    Indicates that something is divided into smaller parts or sections by another entity or criterion.
  • E. hasSubdivisionCodePart chosen
    Indicates that an entity’s subdivision code includes or is composed of the referenced code segment or component.
  • F. None of above.

Provenance (4 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f139505c8190a7158cf59a6e089e completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa99a9148190b67e49c8c8674042 completed March 28, 2026, 3:58 p.m.
PD Predicate disambiguation batch_69c6f02aeeb8819099d1626566cec18b completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:05 p.m.