Triple

T9010249
Position Surface form Disambiguated ID Type / Status
Subject Terminal 1 (Nội Bài International Airport) E215449 entity
Predicate name P16 FINISHED
Object Terminal 1 E215449 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: Terminal 1 | Statement: [Terminal 1 (Nội Bài International Airport), name, Terminal 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terminal 1
Context triple: [Terminal 1 (Nội Bài International Airport), name, Terminal 1]
  • A. Terminal 1
    Terminal 1 is one of the passenger terminals at Los Angeles International Airport, primarily serving domestic flights for several major U.S. airlines.
  • B. Terminal 1
    Terminal 1 is a passenger terminal at San Francisco International Airport that serves as one of the airport’s main facilities for airline check-in, security, and boarding.
  • C. Terminal 1 chosen
    Terminal 1 is a domestic passenger terminal at Nội Bài International Airport in Hanoi, Vietnam, serving most of the airport’s internal flights and related services.
  • D. Terminal 1
    Terminal 1 is one of the main passenger terminals at Oakland International Airport, serving commercial airline flights and associated traveler services.
  • E. Terminal 1
    Terminal 1 is one of the passenger terminals at Kotoka International Airport in Accra, Ghana, serving as a facility for handling flights and travelers.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69c00ae8819090786385a72e8baf completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb9dca848190952427bb5712081f completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:06 p.m.