Triple

T17290811
Position Surface form Disambiguated ID Type / Status
Subject Terminal 1 (O'Hare) E419778 entity
Predicate airportCode P418 FINISHED
Object ORD E89046 NE 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: ORD | Statement: [Terminal 1 (O'Hare), airportCode, ORD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ORD
Context triple: [Terminal 1 (O'Hare), airportCode, ORD]
  • A. ORD chosen
    ORD is the three-letter IATA airport code for Chicago O'Hare International Airport, one of the busiest air travel hubs in the United States.
  • B. Ord
    Ord is a surname most notably associated with Boris Ord, the influential 20th-century English organist and choral conductor at King's College, Cambridge.
  • C. OR
    OR is the official two-letter United States Postal Service abbreviation for the state of Oregon.
  • D. OR
    OR is the IATA airline designator assigned to the Dutch leisure carrier Arkefly (now operating as TUI fly Netherlands).
  • E. OR
    OR is the commonly used abbreviation for the Swiss Code of Obligations, the core Swiss federal statute governing contract, company, and commercial law.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437837d048190949b947f5437636d completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017959ffb0819099d70ed1541158ee completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.