Triple

T35281447
Position Surface form Disambiguated ID Type / Status
Subject Sub 37 E1018942 entity
Predicate hasModWheel P198867 FINISHED
Object true 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: true | Statement: [Sub 37, hasModWheel, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasModWheel
Context triple: [Sub 37, hasModWheel, true]
  • A. hasScrollWheel
    Indicates that an object possesses a scroll wheel as one of its components or features.
  • B. hasWheelsOption
    Indicates that an entity offers or includes a selectable option related to wheels (e.g., presence, type, or configuration of wheels).
  • C. hasTrailingWheelArrangement
    Indicates that an entity (typically a vehicle) possesses a specific configuration of wheels located at its rear or trailing end.
  • D. hasFilterWheel
    Indicates that an entity is equipped with or connected to a filter wheel component used to select among multiple filters.
  • E. hasRotationMechanic
    Indicates that the subject includes or supports a gameplay or functional mechanic involving rotation or turning as a core interaction.
  • F. None of above. chosen

Provenance (4 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_69f76de6d39c8190bb11342e4b91ff2b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff0e9c75208190a4423261f00b79b3 completed May 9, 2026, 10:38 a.m.
PD Predicate disambiguation batch_69ff0e07f08481909c4ae322632a6bf0 completed May 9, 2026, 10:35 a.m.
PDg Predicate description generation batch_69ff0e9b7acc81909a0ee66201a06877 completed May 9, 2026, 10:38 a.m.
Created at: May 3, 2026, 4:03 p.m.