Triple

T19581268
Position Surface form Disambiguated ID Type / Status
Subject Old City Harbour E489990 entity
Predicate hasPart P35 FINISHED
Object Terminal A NE NERFINISHED

How this triple was built (3 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 A | Statement: [Old City Harbour, hasPart, Terminal A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal A
Context triple: [Old City Harbour, hasPart, Terminal A]
  • A. Terminal A
    Terminal A is one of the passenger terminals at Sheremetyevo International Airport in Moscow, serving specific flights and airlines within the airport’s terminal complex.
  • B. Terminal A
    Terminal A is one of the main passenger terminals at San Jose International Airport, serving airline check-in, security, boarding gates, and baggage claim for departing and arriving travelers.
  • C. Terminal A
    Terminal A is one of the passenger terminals at Boston Logan International Airport, serving as a hub for several domestic and international airline operations.
  • D. Terminal A
    Terminal A is one of the main passenger terminals at Trondheim Airport, Værnes in Norway, handling a significant share of the airport’s domestic and/or international air traffic.
  • E. Terminal A
    Terminal A is one of the passenger terminals at Bordeaux–Mérignac Airport, serving as a key facility for handling flights and travelers at the airport.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Terminal A
Target entity description: Terminal A is a passenger terminal facility at Tallinn’s Old City Harbour, serving as one of the main points for ferry and cruise traffic.
  • A. Terminal A
    Terminal A is one of the main passenger terminals at O. R. Tambo International Airport in Johannesburg, serving as a key hub for airline check-in, departures, and arrivals.
  • B. Terminal A
    Terminal A is a passenger terminal at Tolmachevo Airport in Novosibirsk, Russia, serving as one of the airport’s main facilities for handling travelers and flights.
  • C. Terminal A
    Terminal A is one of the passenger terminals at Hannover Airport in Germany, serving airline check-in, departures, and arrivals operations.
  • D. Terminal A
    Terminal A is a passenger terminal at Koltsovo International Airport in Yekaterinburg, Russia, serving as one of the airport’s main facilities for handling flights and travelers.
  • E. Terminal A
    Terminal A is one of the main passenger terminals at Punta Cana International Airport, serving travelers to and from this major Caribbean resort destination.
  • F. None of above. chosen

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e640281b7c8190be44268a58df058f completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.