Triple

T13415936
Position Surface form Disambiguated ID Type / Status
Subject Melipeuco E313213 entity
Predicate roadAccessFrom P22549 FINISHED
Object Cunco E312274 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: Cunco | Statement: [Melipeuco, roadAccessFrom, Cunco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cunco
Context triple: [Melipeuco, roadAccessFrom, Cunco]
  • A. Cunco chosen
    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.
  • B. Colocolo
    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.
  • C. Boni
    Boni is an Italian surname shared by various notable figures in fields such as archaeology, politics, and the arts.
  • D. Chimbo
    Chimbo is a small town in central Ecuador known for its colonial heritage and location within Bolívar Province in the Andean highlands.
  • E. Pelmo
    Pelmo is a prominent mountain in the Italian Dolomites, known for its massive block-like shape and popularity among hikers and climbers.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb6e904819098cc9153fd2feaf5 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308095548190afb659b84f2775f2 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:39 p.m.