Triple

T18037496
Position Surface form Disambiguated ID Type / Status
Subject Gmina Bielawy E431548 entity
Predicate containsSettlement P847 FINISHED
Object Psary NE NERFINISHED

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: [Gmina Bielawy, containsSettlement, Psary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Psary
Context triple: [Gmina Bielawy, containsSettlement, 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. Mourtos
    Mourtos is the former name of the coastal village and resort town now known as Syvota in northwestern Greece.
  • E. Vourgareli
    Vourgareli is a traditional mountain village in the Tzoumerka region of Epirus, Greece, known for its natural beauty and historical stone architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be3bc3208190a6db569e79f06232 completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.