Triple

T9694366
Position Surface form Disambiguated ID Type / Status
Subject Toqui E234609 entity
Predicate notableHolder P1918 FINISHED
Object Colocolo E390177 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: Colocolo | Statement: [Toqui, notableHolder, Colocolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colocolo
Context triple: [Toqui, notableHolder, Colocolo]
  • A. Colocolo chosen
    Colocolo was a prominent Mapuche leader and strategist who played a key role in organizing indigenous resistance against the Spanish during the early conquest of Chile.
  • B. Cunco
    Cunco is a small town and municipality in southern Chile’s Araucanía Region, known for its rural character and proximity to lakes and Andean landscapes.
  • C. Chuncho
    "Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
  • D. Chigorodó
    Chigorodó is a municipality in Colombia’s Antioquia Department, known for its agricultural production and location in the Urabá region.
  • E. La Quica
    La Quica is a character in the crime drama series "Narcos," depicted as a ruthless hitman working for the Medellín Cartel under Pablo Escobar.
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d348868819083aec7a5da8c455b completed April 1, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1911d33f081908637cbf4c1949bcd completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:17 p.m.