Triple

T33268936
Position Surface form Disambiguated ID Type / Status
Subject Grizzly moist snuff E851725 entity
Predicate hasCutType P84047 FINISHED
Object long cut LITERAL 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: long cut | Statement: [Grizzly moist snuff, hasCutType, long cut]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCutType
Context triple: [Grizzly moist snuff, hasCutType, long cut]
  • A. hasCut
    Indicates that one entity has made or possesses a cut in, on, or through another entity.
  • B. hasTypicalCut chosen
    Indicates that one entity is characterized by or associated with a standard or typical type of cut of another entity.
  • C. isCutInto
    Indicates that one entity is divided or separated into pieces or segments that become the other entity.
  • D. hasAlternateCut
    Indicates that an entity has an alternative edited version or cut, distinct from its primary or original form.
  • E. hasSlitType
    Indicates that an entity possesses or is characterized by a specific type or form of slit.
  • F. None of above.

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_69f349642dac81908a37ffcc3b976a55 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd76d1e5208190a6f26651492d1e3c completed May 8, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69fd702a226c81908edfda00f4be4130 completed May 8, 2026, 5:10 a.m.
Created at: May 1, 2026, 1:32 a.m.