Triple

T7186363
Position Surface form Disambiguated ID Type / Status
Subject Chía E167580 entity
Predicate nameLanguage P15 FINISHED
Object Muysccubun E167583 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: Muysccubun | Statement: [Chía, nameLanguage, Muysccubun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muysccubun
Context triple: [Chía, nameLanguage, Muysccubun]
  • A. Muysccubun chosen
    Muysccubun is the indigenous language of the Muisca people of the Colombian Andes, historically used across the central highlands of present-day Colombia.
  • B. Muscoy
    Muscoy is an unincorporated community in San Bernardino County, California, known for its semi-rural character within the Inland Empire region.
  • C. Pumanque
    Pumanque is a rural municipality and town in central Chile’s O’Higgins Region, known for its agricultural activities within the Colchagua Valley area.
  • D. Camocim
    Camocim is a coastal municipality in the Brazilian state of Ceará, known for its beaches, dunes, and fishing activities.
  • E. Ingonish
    Ingonish is a small coastal community on Cape Breton Island in Nova Scotia, Canada, known as a gateway to the Cabot Trail and nearby highland and ocean scenery.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8e0f2f48190a4ddf8637f556934 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b950f90c81908391a96071594ea6 completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:49 p.m.