Triple

T10884573
Position Surface form Disambiguated ID Type / Status
Subject Lipan language E257008 entity
Predicate usedIn P98 FINISHED
Object Chihuahua (historically) E612455 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: Chihuahua (historically) | Statement: [Lipan language, usedIn, Chihuahua (historically)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chihuahua (historically)
Context triple: [Lipan language, usedIn, Chihuahua (historically)]
  • A. Chihuahua
    Chihuahua is Mexico’s largest state by area, known for its desert landscapes, rugged mountain ranges, and significant role in the country’s history and industry.
  • B. Chihuahua, Mexico chosen
    Chihuahua, Mexico is a large state in northern Mexico known for its vast deserts, rugged Sierra Madre mountains, and role in the Mexican Revolution.
  • C. Xoloitzcuintles
    Xoloitzcuintles is the popular nickname of Mexican football club Club Tijuana, referencing the ancient Mexican hairless dog breed that serves as the team’s symbol.
  • D. Conejos
    Conejos is a small unincorporated community in southern Colorado that serves as the historic county seat of Conejos County.
  • E. Moxeño
    Moxeño is an indigenous Arawakan language spoken by the Moxeño people of Bolivia’s Beni 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dc3518819090e03d81ea5c8aa9 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7ecf1c48190aef0d31ef03d1f88 completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.