Triple

T19581269
Position Surface form Disambiguated ID Type / Status
Subject Old City Harbour E489990 entity
Predicate hasPart P35 FINISHED
Object Terminal D 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 D | Statement: [Old City Harbour, hasPart, Terminal D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal D
Context triple: [Old City Harbour, hasPart, Terminal D]
  • A. Terminal D
    Terminal D is one of the main passenger terminals at Sheremetyevo International Airport in Moscow, serving numerous international and domestic flights.
  • B. Terminal D
    Terminal D is the international terminal at Dallas/Fort Worth International Airport, serving as a major hub for long-haul and global flights with extensive passenger amenities.
  • C. Terminal D
    Terminal D is the international terminal at George Bush Intercontinental Airport in Houston, primarily serving overseas and long-haul flights.
  • D. Terminal D
    Terminal D is the main concourse at Miami International Airport primarily serving American Airlines and many of its domestic and international flights.
  • E. Terminal D
    Terminal D is one of the passenger terminals at the former Berlin Schönefeld Airport, serving as a facility for handling departing and arriving air travelers.
  • 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 D
Target entity description: Terminal D is a passenger terminal at Tallinn’s Old City Harbour, serving ferry and cruise traffic between Estonia and neighboring countries.
  • A. Terminal D chosen
    Terminal D is a major passenger terminal at the Port of Tallinn in Estonia, serving as a key hub for ferry and cruise traffic across the Baltic Sea.
  • B. Terminal D
    Terminal D is one of the main passenger terminals at Sheremetyevo International Airport in Moscow, serving numerous international and domestic flights.
  • C. Terminal D
    Terminal D is a passenger terminal at Kyiv Zhuliany International Airport, serving travelers on domestic and international flights.
  • D. Terminal D
    Terminal D is a major passenger terminal at Boryspil International Airport in Ukraine, serving as one of its primary hubs for international and domestic flights.
  • E. Terminal D
    Terminal D is one of the passenger terminals at the former Berlin Schönefeld Airport, serving as a facility for handling departing and arriving air travelers.
  • F. None of above.

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.