Triple

T14498267
Position Surface form Disambiguated ID Type / Status
Subject Azángaro Province E359560 entity
Predicate administrativeCenter P1474 FINISHED
Object Azángaro E1101915 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: Azángaro | Statement: [Azángaro Province, administrativeCenter, Azángaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azángaro
Context triple: [Azángaro Province, administrativeCenter, Azángaro]
  • A. Azángaro
    Azángaro is an important archaeological site in the Peruvian highlands associated with the ancient Huari (Wari) civilization.
  • B. Azángaro chosen
    Azángaro is a town in southern Peru that serves as an important commercial and administrative center in the Puno region’s high Andean plateau.
  • C. Chiquilá
    Chiquilá is a small coastal village in Quintana Roo, Mexico, best known as the main ferry departure point to the popular island destination of Isla Holbox.
  • D. Machalí
    Machalí is a Chilean city in the O'Higgins Region known for its proximity to the El Teniente copper mine and the Andean foothills.
  • E. Chimbay
    Chimbay is a town in the autonomous Republic of Karakalpakstan in northwestern Uzbekistan, serving as a local administrative and economic center in the 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9311cc748190880c784f173b7f2b completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a420040819097ee73390d625338 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:21 a.m.