Triple

T4394821
Position Surface form Disambiguated ID Type / Status
Subject Gdańsk Lech Wałęsa Airport E99460 entity
Predicate servesMetropolitanArea P82 FINISHED
Object Tricity E374064 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: Tricity | Statement: [Gdańsk Lech Wałęsa Airport, servesMetropolitanArea, Tricity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tricity
Context triple: [Gdańsk Lech Wałęsa Airport, servesMetropolitanArea, Tricity]
  • A. Tricity metropolitan area chosen
    The Tricity metropolitan area is an urban region in northern Poland comprising the closely linked Baltic Sea port cities of Gdańsk, Gdynia, and Sopot.
  • B. Warsaw metropolitan area
    The Warsaw metropolitan area is the large urban agglomeration centered on Poland’s capital city, encompassing Warsaw and its surrounding suburban and commuter zones.
  • C. Piła
    Piła is a city in northwestern Poland known as a regional economic and transport center in the Greater Poland Voivodeship.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Lublin
    Lublin is a historic city in eastern Poland known as a major cultural, academic, and economic center and for its significant role in Polish political history.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352a9c8b88190a7894a40be4996f0 completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6135919d08190abab3858ff01bf11 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:20 p.m.