Triple

T16998479
Position Surface form Disambiguated ID Type / Status
Subject Chałupy railway station E412377 entity
Predicate locatedIn P40 FINISHED
Object Chałupy E90311 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: Chałupy | Statement: [Chałupy railway station, locatedIn, Chałupy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chałupy
Context triple: [Chałupy railway station, locatedIn, Chałupy]
  • A. Chałupy chosen
    Chałupy is a small Polish seaside village and popular windsurfing and kitesurfing spot on the Baltic coast.
  • B. Czeladź
    Czeladź is a historic industrial town in southern Poland, located in the Silesian metropolitan area near Katowice.
  • C. Kuryłówka
    Kuryłówka is a village in southeastern Poland, historically notable as the birthplace of pianist, composer, and statesman Ignacy Jan Paderewski.
  • D. Ryczówek
    Ryczówek is a village in southern Poland located within the administrative district of Gmina Klucze in Lesser Poland Voivodeship.
  • E. Szerzyny
    Szerzyny is a village in southern Poland located within the administrative region of Lesser Poland Voivodeship.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37c16d081908ea5e25c992cb254 completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc18e6988190b42b3d251cf00b98 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.