Triple

T13295403
Position Surface form Disambiguated ID Type / Status
Subject Chilecito Department E316667 entity
Predicate hasMainUrbanCenter P2106 FINISHED
Object Chilecito E298900 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: Chilecito | Statement: [Chilecito Department, hasMainUrbanCenter, Chilecito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilecito
Context triple: [Chilecito Department, hasMainUrbanCenter, Chilecito]
  • A. Chilecito chosen
    Chilecito is a city in northwestern Argentina known for its wine production, mining history, and scenic Andean surroundings.
  • B. El Chañar
    El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
  • C. Cipolletti
    Cipolletti is a city in Argentina’s Patagonia region, known as an important agricultural and service center in the Alto Valle of the Río Negro.
  • D. Chañaral
    Chañaral is a coastal city in northern Chile known historically for its mining activity and its location along the Atacama Desert shoreline.
  • E. Chaca
    Chaca is a genus of freshwater catfish known for its flattened body, large mouth, and bottom-dwelling, ambush-predator lifestyle in South and Southeast Asian waters.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99079c8508190b6208db9affcbc0e completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f247e2081908759c40c0023c7ae completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:28 p.m.