Triple

T1541285
Position Surface form Disambiguated ID Type / Status
Subject Tarapacá Region E32870 entity
Predicate namedAfter P63 FINISHED
Object Tarapacá E32870 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: Tarapacá | Statement: [Tarapacá Region, namedAfter, Tarapacá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarapacá
Context triple: [Tarapacá Region, namedAfter, Tarapacá]
  • A. Tarapacá Region chosen
    Tarapacá Region is an administrative region in northern Chile known for its desert landscapes, mining industry, and the port city of Iquique.
  • B. Arequipa Region
    The Arequipa Region is a southern Peruvian administrative area dominated by volcanic highlands and deep canyons, including parts of the Andes where some headwaters of the Amazon River originate.
  • C. Puno Region
    Puno Region is a high-altitude area in southeastern Peru known for its Andean culture and for encompassing much of Lake Titicaca, one of the world’s highest navigable lakes.
  • D. Limarí Province
    Limarí Province is an administrative division in north-central Chile known for its semi-arid climate, agriculture, and pisco-producing valleys.
  • E. Huasco Province
    Huasco Province is an administrative division in northern Chile known for its mining activities, agriculture, and coastal desert landscapes within the Atacama Region.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61faaaa4819089120e25f4bcb0f6 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51a8b8b88190a320071964846518 completed March 8, 2026, 10:38 a.m.
Created at: March 4, 2026, 7:26 p.m.