Triple

T11357875
Position Surface form Disambiguated ID Type / Status
Subject Opovo municipality E269007 entity
Predicate hasVillage P4011 FINISHED
Object Opovo E269007 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: Opovo | Statement: [Opovo municipality, hasVillage, Opovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opovo
Context triple: [Opovo municipality, hasVillage, Opovo]
  • A. Opovo municipality chosen
    Opovo municipality is a local administrative region in the South Banat District of Vojvodina, northern Serbia, comprising several settlements including the village of Idvor.
  • B. Prijedor
    Prijedor is a city in northwestern Bosnia and Herzegovina known for its industrial heritage and its significant role and tragic events during the Bosnian War.
  • C. Novi Grad
    Novi Grad is the fictional capital city of the Eastern European nation Sokovia in the Marvel Cinematic Universe.
  • D. Pavlovo
    Pavlovo is a historic town in Russia, known as an administrative center and for its traditional metalworking and handicraft industries.
  • E. Prokuplje
    Prokuplje is a town and municipality in southern Serbia known for its historical heritage and agricultural surroundings.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea419afc8190b3a93141d015ebdf completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58b8d5f5c8190a80a52f2063bb5b0 completed April 20, 2026, 2:12 a.m.
Created at: April 8, 2026, 9:33 p.m.