Triple

T5845513
Position Surface form Disambiguated ID Type / Status
Subject Valdivia River E129699 entity
Predicate namedAfter P63 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: [Valdivia River, namedAfter, Valdivia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdivia
Context triple: [Valdivia River, namedAfter, 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034dcafe88190a438034a539ffa52 completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0fb0f68819091018926ee4c7bb8 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:55 p.m.