Triple

T16329769
Position Surface form Disambiguated ID Type / Status
Subject Zagłębie Lubin E396518 entity
Predicate basedIn P40 FINISHED
Object Lubin, Poland 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, Poland | Statement: [Zagłębie Lubin, basedIn, Lubin, Poland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubin, Poland
Context triple: [Zagłębie Lubin, basedIn, Lubin, Poland]
  • A. Lutynia, Poland
    Lutynia, Poland is a village in southwestern Poland best known as the site of the historic 1757 Battle of Leuthen during the Seven Years' War.
  • B. Lipno, Poland
    Lipno, Poland is a small town in north-central Poland’s Kuyavian-Pomeranian Voivodeship, known as the birthplace of prominent economist and reformer Leszek Balcerowicz.
  • C. Tychy, Poland
    Tychy, Poland is an industrial city in the Silesian region known for its major automotive manufacturing plants and brewing industry.
  • D. Lubin chosen
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • E. Plock, Poland
    Płock is a historic city in central Poland on the Vistula River, known for its medieval cathedral, former status as a royal capital, and role as an important regional cultural and industrial 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4debef08190a64f13214bfa098f completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00261134108190812da262b424a476 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.