Triple

T20871390
Position Surface form Disambiguated ID Type / Status
Subject Montagnais E513900 entity
Predicate hasPopulationCenter P2106 FINISHED
Object Natuashish NE NERFINISHED

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: Natuashish | Statement: [Montagnais, hasPopulationCenter, Natuashish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natuashish
Context triple: [Montagnais, hasPopulationCenter, Natuashish]
  • A. Natuashish chosen
    Natuashish is a remote Innu community in northern Labrador, Canada, established as a replacement for the former settlement of Davis Inlet.
  • B. Shanenawa
    The Shanenawa are an Indigenous people of the southwestern Brazilian Amazon, known for their Panoan language, forest-based livelihood, and rich shamanic and ritual traditions.
  • C. Nainwa
    Nainwa is a town in the Bundi district of Rajasthan, India, known for its traditional Rajasthani culture and regional markets.
  • D. Nisamehe
    "Nisamehe" is a popular Tanzanian Bongo Flava song by singer Zuchu, known for its emotional lyrics and melodic style.
  • E. Naʼtche
    Naʼtche is another name for the Natchez language, a now-extinct Native American language once spoken in the lower Mississippi Valley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c4649cf88190b3ad946576aa46aa completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.