Triple

T3893027
Position Surface form Disambiguated ID Type / Status
Subject Zagłębie Lubin E88104 entity
Predicate stadiumLocation P40 FINISHED
Object Lubin E315898 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: Lubin | Statement: [Zagłębie Lubin, stadiumLocation, Lubin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubin
Context triple: [Zagłębie Lubin, stadiumLocation, Lubin]
  • A. Lubin chosen
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • B. Lubawa
    Lubawa is a historic town in northern Poland known for its medieval heritage and location within the Warmian-Masurian region.
  • C. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • D. 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.
  • E. Lubliniec
    Lubliniec is a historic town in southern Poland’s Silesian Voivodeship, known for its medieval origins, regional cultural heritage, and surrounding forested landscapes.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecce860c8190b16eca2e14f6544f completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bffc1b472c819087590fe2b8713ded completed March 22, 2026, 2:26 p.m.
Created at: March 9, 2026, 3:21 p.m.