Triple

T36936672
Position Surface form Disambiguated ID Type / Status
Subject 仙台市 E913638 entity
Predicate 主要空港 P281 FINISHED
Object 仙台空港 LITERAL FINISHED

How this triple was built (2 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: 仙台空港 | Statement: [仙台市, 主要空港, 仙台空港]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 主要空港
Context triple: [仙台市, 主要空港, 仙台空港]
  • A. isMajorCargoAirport
    Indicates that an airport primarily handles large volumes of cargo traffic and serves as a significant freight hub.
  • B. hasMajorAirport chosen
    Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
  • C. hasPrimaryAirportRole
    Indicates that an entity holds the main or principal functional role associated with an airport.
  • D. mainAccessAirport
    Indicates that one location serves as the primary airport providing access to another place or region.
  • E. isMajorRegionalAirportFor
    Indicates that an airport serves as a primary or significant air travel hub for a particular region.
  • F. None of above.

Provenance (3 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_69f76e8a6a5c81909c1febf32bf3fe23 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fdfc6a1c8190ba9fd414a889fc72 completed May 5, 2026, 2:26 p.m.
PD Predicate disambiguation batch_69f7cf79ddb08190a083405cccc14137 completed May 3, 2026, 10:43 p.m.
Created at: May 3, 2026, 4:13 p.m.