Triple

T6594967
Position Surface form Disambiguated ID Type / Status
Subject Misiones Province E148451 entity
Predicate hasCity P316 FINISHED
Object Oberá
Oberá is a major inland city in northeastern Argentina known for its cultural diversity and role as an agricultural and commercial center in Misiones Province.
 E610165 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: Oberá | Statement: [Misiones Province, hasCity, Oberá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oberá
Context triple: [Misiones Province, hasCity, Oberá]
  • A. Verduno
    Verduno is a small village in Italy’s Piedmont region renowned as one of the historic communes producing Barolo wine.
  • B. Arbogne
    Arbogne is a small river in western Switzerland that serves as a tributary of the Broye.
  • C. Guaragna
    Guaragna is the original Italian family name of American composer and songwriter Harry Warren, known for his influential contributions to film and popular music.
  • D. Zugló
    Zugló is Budapest’s 14th district, a largely residential area known for its parks, historic villas, and major landmarks such as City Park and Heroes’ Square.
  • E. Taibach
    Taibach is a residential area and community within the county borough of Neath Port Talbot in South Wales, historically associated with the steel industry and the town of Port Talbot.
  • 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: Oberá
Triple: [Misiones Province, hasCity, Oberá]
Generated description
Oberá is a major inland city in northeastern Argentina known for its cultural diversity and role as an agricultural and commercial center in Misiones Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oberá
Target entity description: Oberá is a major inland city in northeastern Argentina known for its cultural diversity and role as an agricultural and commercial center in Misiones Province.
  • A. Verduno
    Verduno is a small village in Italy’s Piedmont region renowned as one of the historic communes producing Barolo wine.
  • B. Arbogne
    Arbogne is a small river in western Switzerland that serves as a tributary of the Broye.
  • C. Guaragna
    Guaragna is the original Italian family name of American composer and songwriter Harry Warren, known for his influential contributions to film and popular music.
  • D. Zugló
    Zugló is Budapest’s 14th district, a largely residential area known for its parks, historic villas, and major landmarks such as City Park and Heroes’ Square.
  • E. Taibach
    Taibach is a residential area and community within the county borough of Neath Port Talbot in South Wales, historically associated with the steel industry and the town of Port Talbot.
  • F. None of above. chosen

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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aed289448190a13c77085bccb006 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eedfe3a88190a1d7fda9ff0dc9bd completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f09ea58c8190bfd8a183581b5a5a completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f1a0935881908afc30ce76bdf76f completed March 27, 2026, 9:07 p.m.
Created at: March 27, 2026, 1:55 p.m.