Triple

T12000014
Position Surface form Disambiguated ID Type / Status
Subject Ayacucho Region E285633 entity
Predicate capital P234 FINISHED
Object Huamanga E594535 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: Huamanga | Statement: [Ayacucho Region, capital, Huamanga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huamanga
Context triple: [Ayacucho Region, capital, Huamanga]
  • A. Huamanga chosen
    Huamanga is the historical name of the Peruvian city now known as Ayacucho, renowned for its colonial architecture and role in the country’s independence history.
  • B. Alcohuaz
    Alcohuaz is a small rural village in Chile’s Elqui Valley, known for its high-altitude vineyards, pisco production, and clear skies for stargazing.
  • C. Chanchamayo
    Chanchamayo is a city in central Peru known for its lush cloud forests, coffee and citrus production, and role as a gateway to the Amazonian high jungle.
  • D. Chayahuita
    Chayahuita is an indigenous language of the Peruvian Amazon, spoken by the Chayahuita (Shawi) people and belonging to the Cahuapanan language family.
  • E. Sipakapense
    Sipakapense is a Mayan language spoken by the Sipakapense people of the western highlands of Guatemala.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472917ed08190a872d9e5663d5ed5 completed May 1, 2026, 9:29 a.m.
Created at: April 8, 2026, 9:46 p.m.