Triple

T4965119
Position Surface form Disambiguated ID Type / Status
Subject Futrono E111504 entity
Predicate regionCapital P16248 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: [Futrono, regionCapital, Valdivia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdivia
Context triple: [Futrono, regionCapital, 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f693b48190b3523cd314303cbe completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c4b5608819089c0bf2400395d18 completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:32 p.m.