Triple

T12715923
Position Surface form Disambiguated ID Type / Status
Subject Omasuyos Province E303838 entity
Predicate hasSettlement P1068 FINISHED
Object Achacachi E296349 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: Achacachi | Statement: [Omasuyos Province, hasSettlement, Achacachi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Achacachi
Context triple: [Omasuyos Province, hasSettlement, Achacachi]
  • A. Achacachi chosen
    Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
  • B. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • C. Chachani
    Chachani is a large, dormant stratovolcano in southern Peru, overlooking the city of Arequipa and popular with high-altitude trekkers and climbers.
  • D. Comayagüela
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • E. Aguaruna
    Aguaruna are an Indigenous people of the Peruvian Amazon, known for their Jivaroan language, forest-based livelihoods, and strong traditions of autonomy and resistance.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620bd6148190a2f50067a4c18c14 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b8a79488190aaf95d4f2e20a7bc completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:23 p.m.