Triple

T16830632
Position Surface form Disambiguated ID Type / Status
Subject La Barra E409137 entity
Predicate nearbyCity P350 FINISHED
Object Maldonado E409138 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: Maldonado | Statement: [La Barra, nearbyCity, Maldonado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maldonado
Context triple: [La Barra, nearbyCity, Maldonado]
  • A. Maldonado chosen
    Maldonado is a coastal city in southeastern Uruguay that serves as the capital of Maldonado Department and a key urban center near the resort town of Punta del Este.
  • B. Maldonado
    Maldonado is a key character in the science-fiction television series "Almost Human," serving as a high-ranking police official who oversees the show's central investigative team.
  • C. Maldonado
    Maldonado is a Spanish-language surname commonly found in Spain and Latin America.
  • D. Núñez
    Núñez is a residential neighborhood in northern Buenos Aires, Argentina, best known in sports for hosting River Plate’s Monumental stadium.
  • E. Moscoso
    Moscoso is the surname of Mireya Moscoso, the first female president of Panama.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b316acc881909c686add53d72388 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2a2a5348190b14af8ab88a281b7 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.