Triple

T8968604
Position Surface form Disambiguated ID Type / Status
Subject Province of Copiapó E214204 entity
Predicate borders P224 FINISHED
Object Province of Chañaral E372251 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: Province of Chañaral | Statement: [Province of Copiapó, borders, Province of Chañaral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Province of Chañaral
Context triple: [Province of Copiapó, borders, Province of Chañaral]
  • A. Chañaral Province chosen
    Chañaral Province is an administrative division in northern Chile known for its coastal desert landscapes and mining activities.
  • B. Arturo Prat Province
    Arturo Prat Province is an administrative division in Chile named in honor of the national naval hero Arturo Prat Chacón.
  • C. Tamarugal Province
    Tamarugal Province is an inland administrative division in northern Chile known for its arid landscapes, salt flats, and part of the Atacama Desert within the Tarapacá Region.
  • D. Centro Sur Province
    Centro Sur Province is an administrative province in mainland Equatorial Guinea known for its inland location and role as a regional governmental center.
  • E. Andrés Ibáñez Province
    Andrés Ibáñez Province is an administrative province in eastern Bolivia that includes the city of Santa Cruz de la Sierra, the country’s largest and most economically important urban center.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6764aca48190a5e472d1b6841886 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0174564188190a99e2d46a6563b69 completed April 3, 2026, 7:38 p.m.
Created at: March 30, 2026, 7:01 p.m.