Triple

T3630893
Position Surface form Disambiguated ID Type / Status
Subject Redłowo E76950 entity
Predicate locatedInUrbanArea P12103 FINISHED
Object Gdynia urban area E12134 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: Gdynia urban area | Statement: [Redłowo, locatedInUrbanArea, Gdynia urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gdynia urban area
Context triple: [Redłowo, locatedInUrbanArea, Gdynia urban area]
  • A. Gdynia chosen
    Gdynia is a major seaport city on Poland’s Baltic coast, developed rapidly in the 20th century into one of the country’s key maritime and economic centers.
  • 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. Upper Silesian metropolitan area
    The Upper Silesian metropolitan area is a major industrial and urban agglomeration in southern Poland, centered around cities such as Katowice and known for its coal mining, heavy industry, and dense population.
  • D. Gdańsk
    Gdańsk is a major Polish port city on the Baltic Sea, known for its rich Hanseatic history, shipyards, and role in the origins of the Solidarity movement.
  • E. Łódź
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc30136e88190922bb542971b5239 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4dcd15c8190a763363adb7740c4 completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:23 p.m.