Triple

T3263010
Position Surface form Disambiguated ID Type / Status
Subject Terminal 2E E68455 entity
Predicate connectedTo P37 FINISHED
Object Terminal 2D E65653 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 2D | Statement: [Terminal 2E, connectedTo, Terminal 2D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 2D
Context triple: [Terminal 2E, connectedTo, Terminal 2D]
  • A. Terminal 2D chosen
    Terminal 2D is a passenger terminal at Paris Charles de Gaulle Airport, serving as one of the facilities handling flights and travelers at this major international hub.
  • B. Terminal 1D
    Terminal 1D is a domestic passenger terminal at Indira Gandhi International Airport in Delhi, India, serving primarily low-cost and short-haul flights.
  • C. Terminal 1D
    Terminal 1D is a passenger terminal at Jomo Kenyatta International Airport in Nairobi, Kenya, serving regional and international flights with check-in, boarding, and arrival facilities.
  • D. Terminal 2G
    Terminal 2G is a regional satellite terminal at Paris Charles de Gaulle Airport primarily serving short-haul European flights operated by Air France and its partners.
  • E. Terminal 8
    Terminal 8 is a major passenger terminal at New York’s John F. Kennedy International Airport, serving as a primary hub for American Airlines and several international carriers.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafa908e881908cbb2ad137819ffb completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ee2ec8481908a0c0f4a32c97fe0 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.