Triple

T14819953
Position Surface form Disambiguated ID Type / Status
Subject Będzin County E348420 entity
Predicate hasRuralGmina P46876 FINISHED
Object Psary E677543 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: Psary | Statement: [Będzin County, hasRuralGmina, Psary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Psary
Context triple: [Będzin County, hasRuralGmina, Psary]
  • A. Psary chosen
    Psary is a village in southern Poland that forms part of the Silesian metropolitan area known for its dense network of interconnected towns and cities.
  • B. Karpenisi
    Karpenisi is a small mountainous town in central Greece known for its scenic landscapes, winter sports, and traditional Greek character.
  • C. Vonitsa
    Vonitsa is a coastal town in western Greece, situated on the Ambracian Gulf and known for its Venetian castle and scenic waterfront.
  • D. Vourgareli
    Vourgareli is a traditional mountain village in the Tzoumerka region of Epirus, Greece, known for its natural beauty and historical stone architecture.
  • E. Usakhelouri
    Usakhelouri is a rare, high-quality Georgian red grape variety known for producing naturally semi-sweet, aromatic wines, primarily in the Lechkhumi region.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe4cf38819090f25ef045351d5d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389bc06c8190a8269c07677d9c35 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:50 a.m.