Triple

T68795
Position Surface form Disambiguated ID Type / Status
Subject Ronald Reagan Washington National Airport E1374 entity
Predicate hasTerminal P182 FINISHED
Object Terminal 1 E5402 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: [Ronald Reagan Washington National Airport, hasTerminal, Terminal 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 1
Context triple: [Ronald Reagan Washington National Airport, hasTerminal, Terminal 1]
  • A. Terminal 1 chosen
    Terminal 1 is one of the main passenger terminals at Ronald Reagan Washington National Airport, serving various domestic airline operations and traveler services.
  • B. Terminal 1
    Terminal 1 is one of the main passenger terminals at Manchester Airport, handling a large share of its international and domestic flights.
  • C. Terminal 2
    Terminal 2 is one of the main passenger terminals at Manchester Airport, handling a large share of the airport’s international and domestic flights.
  • D. Terminal 2
    Terminal 2 is a major passenger terminal at Ronald Reagan Washington National Airport serving numerous domestic airline operations and traveler amenities.
  • E. Terminal 7
    Terminal 7 is one of the passenger terminals at John F. Kennedy International Airport in New York City, historically serving several international airlines.
  • 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_69a24c06b3bc8190aa4ac89026115efc completed Feb. 28, 2026, 1:59 a.m.
NER Named-entity recognition batch_69a24f0333dc8190a29d28cbf6e4e813 completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a284fb8c1481908d7796593836c925 completed Feb. 28, 2026, 6:02 a.m.
Created at: Feb. 28, 2026, 2:03 a.m.