Triple

T28490266
Position Surface form Disambiguated ID Type / Status
Subject Pacific Star E720944 entity
Predicate claspWornAs P164854 FINISHED
Object silver rosette on the ribbon when ribbon alone is worn 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: silver rosette on the ribbon when ribbon alone is worn | Statement: [Pacific Star, claspWornAs, silver rosette on the ribbon when ribbon alone is worn]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: claspWornAs
Context triple: [Pacific Star, claspWornAs, silver rosette on the ribbon when ribbon alone is worn]
  • A. wearClassification
    Indicates a classification relationship specifying the type or category of wear associated with an entity or interaction.
  • B. wornAround
    Indicates that one entity is physically worn encircling or surrounding another entity (e.g., around a body part or object).
  • C. hasClasps
    Indicates that one entity is equipped with or features clasps that fasten, secure, or attach it to another entity or its parts.
  • D. wearingClass
    Indicates that one entity is wearing or dressed in an item belonging to a particular class or category of clothing or accessories.
  • E. wornAs
    Indicates that one entity is used or put on as clothing, an accessory, or a wearable item by another entity.
  • 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_69f01a5a47148190b0a7e111bc432e0a completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69f651aad92c8190b874b3b5f9f64434 completed May 2, 2026, 7:34 p.m.
PDg Predicate description generation batch_69f652a3a8208190a4fdd66f34138bd2 completed May 2, 2026, 7:38 p.m.
Created at: April 28, 2026, 3:01 a.m.