Triple

T11357857
Position Surface form Disambiguated ID Type / Status
Subject Opovo municipality E269007 entity
Predicate administrativeCenter P1474 FINISHED
Object Opovo
Opovo is a small town in Serbia that serves as the main local hub for administration, services, and commerce in its surrounding municipality.
 E269007 NE FINISHED

How this triple was built (4 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, administrativeCenter, Opovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Opovo
Context triple: [Opovo municipality, administrativeCenter, Opovo]
  • A. Opovo municipality
    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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Opovo
Triple: [Opovo municipality, administrativeCenter, Opovo]
Generated description
Opovo is a small town in Serbia that serves as the main local hub for administration, services, and commerce in its surrounding municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Opovo
Target entity description: Opovo is a small town in Serbia that serves as the main local hub for administration, services, and commerce in its surrounding municipality.
  • 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.

Provenance (5 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_69e543b3cbd88190bb479ac88f8ca710 completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bc97b08190a87371a1e1e6f9c5 completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54efda820819092d6a94fa4fd21f0 completed April 19, 2026, 9:54 p.m.
Created at: April 8, 2026, 9:33 p.m.