Triple

T13334779
Position Surface form Disambiguated ID Type / Status
Subject Heathrow Terminal 2 E317660 entity
Predicate hasSubFacility P12416 FINISHED
Object Terminal 2A E652702 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 2A | Statement: [Heathrow Terminal 2, hasSubFacility, Terminal 2A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 2A
Context triple: [Heathrow Terminal 2, hasSubFacility, Terminal 2A]
  • A. Terminal 2A chosen
    Terminal 2A is one of the sub-terminals within Barcelona–El Prat Airport’s Terminal 2 complex, serving as a passenger facility for selected airlines and flights.
  • B. Terminal 2A
    Terminal 2A is one of the passenger terminals at Paris Charles de Gaulle Airport, serving various international and European flights with check-in, boarding, and arrival facilities.
  • C. Terminal 2A
    Terminal 2A is one of the main passenger terminals at Budapest Ferenc Liszt International Airport, serving a significant share of its commercial airline traffic.
  • D. Terminal 2C
    Terminal 2C is one of the passenger terminals at Paris Charles de Gaulle Airport, serving various international and European flights with check-in, boarding, and arrival facilities.
  • E. Terminal 2C
    Terminal 2C is one of the sub-terminals within Barcelona–El Prat Airport’s Terminal 2 complex, serving as a dedicated passenger facility for specific airlines and flights.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f39f298819088d79cda3ac2b375 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:30 p.m.