Triple

T3806134
Position Surface form Disambiguated ID Type / Status
Subject Chipewyan E93010 entity
Predicate alternateName P39 FINISHED
Object Denesuline E119286 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: Denesuline | Statement: [Chipewyan, alternateName, Denesuline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denesuline
Context triple: [Chipewyan, alternateName, Denesuline]
  • A. Denesuline chosen
    Denesuline are a First Nations people of the larger Dene cultural and linguistic group, traditionally inhabiting subarctic regions of northern Canada.
  • B. Anpezan
    Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
  • C. Novafora
    Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
  • D. Pregny-Chambésy
    Pregny-Chambésy is a small, affluent municipality on the shores of Lake Geneva in the canton of Geneva, Switzerland, known for hosting several international organizations and diplomatic missions.
  • E. Darzalex
    Darzalex is a monoclonal antibody drug (daratumumab) used primarily in the treatment of multiple myeloma.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee809c5c481909d5412cdd33b458d completed March 9, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb2d7be48190a041e59b706751a4 completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:16 p.m.