Triple

T14380494
Position Surface form Disambiguated ID Type / Status
Subject Terminal 3E E356587 entity
Predicate connectedTo P37 FINISHED
Object Terminal 3C E352637 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 3C | Statement: [Terminal 3E, connectedTo, Terminal 3C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 3C
Context triple: [Terminal 3E, connectedTo, Terminal 3C]
  • A. Terminal 3C chosen
    Terminal 3C is a concourse within Beijing Capital International Airport’s expansive Terminal 3 complex, serving as one of its passenger boarding and transfer areas.
  • B. Terminal 3A
    Terminal 3A is a major passenger terminal at Chongqing Jiangbei International Airport, designed to handle large volumes of domestic and international air traffic.
  • C. Terminal 3
    Terminal 3 is the main international passenger terminal at Ben-Gurion Airport, serving as Israel’s primary gateway for most commercial flights.
  • D. Terminal 3
    Terminal 3 is the main modern passenger terminal at Málaga Airport, handling the majority of its commercial flights and services.
  • E. Terminal 3
    Terminal 3 is a major domestic passenger terminal at San Francisco International Airport, primarily serving United Airlines and its partners.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900bbfb08190a1e56f281a2374c0 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c590660819090652e75418f2747 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:16 a.m.