Triple

T12485233
Position Surface form Disambiguated ID Type / Status
Subject La Banda Department E298413 entity
Predicate hasSettlement P1068 FINISHED
Object La Banda E296041 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: La Banda | Statement: [La Banda Department, hasSettlement, La Banda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Banda
Context triple: [La Banda Department, hasSettlement, La Banda]
  • A. La Banda chosen
    La Banda is a major city in northern Argentina known for its agricultural economy and proximity to the provincial capital, Santiago del Estero.
  • B. Banda Gigante
    Banda Gigante was the celebrated big band orchestra led by Cuban singer Benny Moré, renowned for its influential role in mid-20th-century Cuban popular music.
  • C. Banda
    Banda is a city in the Bundelkhand region of Uttar Pradesh, India, known for its historical significance and proximity to the Ken River.
  • D. Bando
    Bando is a surname most notably associated with Sal Bando, an American Major League Baseball third baseman and executive.
  • E. Corteo
    Corteo is a Cirque du Soleil touring circus production known for its theatrical, carnival-like atmosphere and emotionally driven acrobatics.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94ddf0b6c8190aff4fe267d8f6efe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67188f6b481909885e35dce5a5b69 completed May 2, 2026, 9:50 p.m.
Created at: April 8, 2026, 9:56 p.m.