Triple

T16536918
Position Surface form Disambiguated ID Type / Status
Subject Sud Yungas Province E401715 entity
Predicate seat P75 FINISHED
Object Chulumani E1220277 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: Chulumani | Statement: [Sud Yungas Province, seat, Chulumani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chulumani
Context triple: [Sud Yungas Province, seat, Chulumani]
  • A. Chulumani chosen
    Chulumani is a small town in Bolivia’s Yungas region known for its subtropical climate, coffee and coca production, and role as a gateway to scenic mountain and cloud-forest landscapes.
  • B. Ahangama
    Ahangama is a coastal town in southern Sri Lanka known for its beaches, surfing spots, and traditional stilt fishermen.
  • C. Kasangati
    Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
  • D. Yunguyo
    Yunguyo is a Peruvian town situated on the shores of Lake Titicaca near the border with Bolivia.
  • E. Mangini
    Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34558ec448190a6dcc15d62d1889c completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed808448190936ea51a9a28a95a completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:15 a.m.