Triple

T5825942
Position Surface form Disambiguated ID Type / Status
Subject St Nicholas Church in Chrzanów E129223 entity
Predicate locatedInSettlement P21214 FINISHED
Object town of Chrzanów E24617 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: town of Chrzanów | Statement: [St Nicholas Church in Chrzanów, locatedInSettlement, town of Chrzanów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Chrzanów
Context triple: [St Nicholas Church in Chrzanów, locatedInSettlement, town of Chrzanów]
  • A. Chrzanów chosen
    Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
  • B. Czchów
    Czchów is a small historic town in southern Poland, known for its medieval castle ruins and picturesque location on the Dunajec River.
  • C. Czorsztyn
    Czorsztyn is a small village in southern Poland known for its picturesque lakeside setting on the Dunajec River and the ruins of a medieval castle overlooking the Pieniny Mountains.
  • D. Chorobrów
    Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
  • E. Czernichów
    Czernichów is a village in southern Poland that serves as the seat of its namesake rural administrative district within the Kraków metropolitan area.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0341caa70819087808564e16109b0 completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0985e3e748190abcc226abdcdb4b5 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.