Triple

T13347408
Position Surface form Disambiguated ID Type / Status
Subject Gmina Zawoja E317988 entity
Predicate seat P75 FINISHED
Object Zawoja E317991 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: Zawoja | Statement: [Gmina Zawoja, seat, Zawoja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zawoja
Context triple: [Gmina Zawoja, seat, Zawoja]
  • A. Zawoja chosen
    Zawoja is a large village in southern Poland, known as a popular tourist and hiking base at the foot of Babia Góra in the Beskid Mountains.
  • B. Skawa
    Skawa is a river in southern Poland that flows through the Lesser Poland region before joining the Vistula River.
  • C. Zaosie
    Zaosie is a small village in present-day Belarus, best known as the birthplace of the Polish Romantic poet Adam Mickiewicz.
  • D. Jaru
    Jaru is a municipality in the Brazilian state of Rondônia, located in the northern region of the country within the Amazon basin.
  • E. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e89c65c819093f3bea11d6073c5 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7306668288190ae8dc05ebadb4975 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:31 p.m.