Triple

T4776478
Position Surface form Disambiguated ID Type / Status
Subject Calle-Calle River E106060 entity
Predicate flowsThrough P225 FINISHED
Object Valdivia E109267 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: Valdivia | Statement: [Calle-Calle River, flowsThrough, Valdivia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdivia
Context triple: [Calle-Calle River, flowsThrough, Valdivia]
  • A. Valdivia chosen
    Valdivia is a historic river port city in southern Chile known for its colonial heritage, waterways, and role as a regional cultural and economic center.
  • B. Balmaceda
    Balmaceda is a Spanish-language surname of Chilean origin, notably borne by actor Pedro Pascal (born José Pedro Balmaceda Pascal).
  • C. Arauco
    Arauco is a coastal city and commune in Chile known for its forestry industry and location within the Biobío Region.
  • D. Montt
    Montt is a Chilean surname most notably associated with Manuel Montt, a 19th-century president of Chile.
  • E. Huilliche
    The Huilliche are an Indigenous people of southern Chile, closely related to the Mapuche, with their own distinct language variety and cultural traditions tied to the coastal and forested regions of Los Lagos and Los Ríos.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6585bf088190a7847241c8868bf6 completed March 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43c6d7848190b998eee680149d6f completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:21 p.m.