Triple

T17663250
Position Surface form Disambiguated ID Type / Status
Subject Dique Luján E440304 entity
Predicate locatedIn P40 FINISHED
Object Tigre Partido E970031 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: Tigre Partido | Statement: [Dique Luján, locatedIn, Tigre Partido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tigre Partido
Context triple: [Dique Luján, locatedIn, Tigre Partido]
  • A. Tigre Partido chosen
    Tigre Partido is a riverside district in the northern suburbs of Buenos Aires, Argentina, known for its Paraná Delta islands, nautical tourism, and residential communities.
  • B. Partido de La Plata
    Partido de La Plata is an administrative division in Buenos Aires Province, Argentina, that encompasses the city of La Plata and its surrounding areas.
  • C. Godoy Cruz
    Godoy Cruz is an Argentine professional football club based in Mendoza, known for competing in the country’s top division.
  • D. Club Olimpo
    Club Olimpo is an Argentine sports club from Bahía Blanca, best known for its football team that has competed in the country’s top divisions.
  • E. Platense
    Platense is an Argentine professional football club best known for competing in the country’s top divisions and developing notable coaches and players.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea73c90819087a23a7b6171f581 completed April 19, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efa9f4e08190bfe6e1ddd1097e86 completed May 12, 2026, 9:15 a.m.
Created at: April 10, 2026, 9:51 a.m.