Triple

T16664000
Position Surface form Disambiguated ID Type / Status
Subject Taracahitic languages E404932 entity
Predicate geographicDistribution P2178 FINISHED
Object Chihuahua E14995 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 | Statement: [Taracahitic languages, geographicDistribution, Chihuahua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chihuahua
Context triple: [Taracahitic languages, geographicDistribution, Chihuahua]
  • A. Chihuahua chosen
    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. Pomeranian
    A Pomeranian is a small, fluffy toy dog breed known for its fox-like face, lively personality, and thick double coat.
  • C. Pomeranians
    Pomeranians are a West Slavic ethnic group native to the historical region of Pomerania along the Baltic Sea, primarily in modern-day Poland and Germany.
  • D. Little Tew
    Little Tew is a small rural village in Oxfordshire, England, known for its traditional stone cottages and picturesque countryside setting.
  • E. Teckel
    Teckel is another name for the dachshund, a small, long-bodied dog breed originally developed in Germany for hunting badgers and other burrowing animals.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9afd048190b73bbc9c423915ca completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084d091e0819088a98ef4aa775d07 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.