Triple

T3613495
Position Surface form Disambiguated ID Type / Status
Subject Gdynia Aquarium E76543 entity
Predicate locatedIn P40 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: [Gdynia Aquarium, locatedIn, Tricity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tricity
Context triple: [Gdynia Aquarium, locatedIn, 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2786f808190be4e42734a79d74e completed March 8, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c380abf0819091750970277352de completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:23 p.m.