Triple

T21036852
Position Surface form Disambiguated ID Type / Status
Subject Bahía Concepción E518212 entity
Predicate nearestTown P350 FINISHED
Object Mulegé NE NERFINISHED

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: Mulegé | Statement: [Bahía Concepción, nearestTown, Mulegé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mulegé
Context triple: [Bahía Concepción, nearestTown, Mulegé]
  • A. Mulegé chosen
    Mulegé is a large municipality in the Mexican state of Baja California Sur, known for its desert landscapes, coastal areas along the Gulf of California, and historic oasis town of the same name.
  • B. Colina
    Colina is the popular nickname of the home stadium used by the Brazilian football club Nacional Futebol Clube.
  • C. Colina
    Colina is a commune and city in central Chile known for its growing residential areas and proximity to Santiago in the Santiago Metropolitan Region.
  • D. Chanco
    Chanco is a coastal town and commune in Chile’s Maule Region, known for its agricultural activities and nearby protected natural areas.
  • E. Machalí
    Machalí is a Chilean city in the O'Higgins Region known for its proximity to the El Teniente copper mine and the Andean foothills.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc865ca88190abf336ee9012fa77 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 2:02 p.m.