Triple

T1281424
Position Surface form Disambiguated ID Type / Status
Subject Río Hurtado E27334 entity
Predicate hasSettlement P1068 FINISHED
Object Población Hurtado E150607 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: Población Hurtado | Statement: [Río Hurtado, hasSettlement, Población Hurtado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Población Hurtado
Context triple: [Río Hurtado, hasSettlement, Población Hurtado]
  • A. Población Hurtado chosen
    Población Hurtado is a small Chilean town that serves as the administrative center of the Río Hurtado commune in the Coquimbo Region.
  • B. Nuevo Pudahuel
    Nuevo Pudahuel is the consortium responsible for managing and operating Santiago de Chile’s main international airport under a long-term concession.
  • C. La Calera
    La Calera is a Colombian town and municipality in the Andean department of Cundinamarca, known for its mountainous landscapes and proximity to Bogotá.
  • D. Santiago Oriente
    Santiago Oriente is an electoral district in Chile that encompasses several eastern communes of Santiago, known for being a predominantly affluent and urban area of the capital.
  • E. Ñuñoa
    Ñuñoa is a commune in Santiago, Chile, known for its residential neighborhoods, cultural venues, and growing commercial and nightlife areas.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b317788190a1672b5ee422a049 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf221180819082fc982b043d1085 completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:50 p.m.