Triple

T11282280
Position Surface form Disambiguated ID Type / Status
Subject Decora fashion E267092 entity
Predicate typicalAccessoryPlacement P18894 FINISHED
Object hair 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: hair | Statement: [Decora fashion, typicalAccessoryPlacement, hair]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalAccessoryPlacement
Context triple: [Decora fashion, typicalAccessoryPlacement, hair]
  • A. accessory
    Indicates that one entity serves as a supplementary or supporting item to another, often enhancing its function, use, or appearance.
  • B. wornAround
    Indicates that one entity is physically worn encircling or surrounding another entity (e.g., around a body part or object).
  • C. wearClassification
    Indicates a classification relationship specifying the type or category of wear associated with an entity or interaction.
  • D. wearLocation chosen
    Indicates the typical body part or location on which an item is worn.
  • E. isWornAbove
    Indicates that one wearable item is positioned higher on the body than another wearable item when both are being worn.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e96e15708190b3a1cccfbbe65882 completed April 9, 2026, 6:01 p.m.
PD Predicate disambiguation batch_69d787a240588190aa097298f951c915 completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:31 p.m.