Triple

T20791337
Position Surface form Disambiguated ID Type / Status
Subject Požega-Slavonia County E511784 entity
Predicate seat P75 FINISHED
Object Požega 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: Požega | Statement: [Požega-Slavonia County, seat, Požega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Požega
Context triple: [Požega-Slavonia County, seat, Požega]
  • A. Požega chosen
    Požega is a historic town and regional center in eastern Croatia, known for its cultural heritage and location in the fertile Požega Valley.
  • B. Požega Valley
    Požega Valley is a fertile, wine-producing basin in eastern Croatia, surrounded by low mountains and known for its agricultural significance and scenic landscapes.
  • C. Brodnica
    Brodnica is a historic town in north-central Poland known for its medieval architecture and location on the Drwęca River.
  • D. Branica
    Branica is a small river in western Slovenia that flows through the Vipava Valley as a tributary of the Vipava River.
  • E. Trebižat
    Trebižat is a karst river in Bosnia and Herzegovina known for its series of waterfalls and underground passages before joining the Neretva River.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c29010508190bf2cf577d7f64754 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.