Triple

T115252
Position Surface form Disambiguated ID Type / Status
Subject Punjab E2323 entity
Predicate traditionalClothing P271 FINISHED
Object salwar kameez 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: salwar kameez | Statement: [Punjab, traditionalClothing, salwar kameez]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalClothing
Context triple: [Punjab, traditionalClothing, salwar kameez]
  • A. traditionalLifestyle
    Indicates that an entity follows or maintains long-established customs, practices, and ways of living, typically in contrast to modern or industrialized lifestyles.
  • B. culturalTradition
    Indicates a relationship where certain practices, beliefs, or customs are recognized as part of a shared cultural heritage passed down within a group or society.
  • C. traditionalCuisine
    Indicates that an entity is associated with the customary or historically rooted style of cooking and food preparation characteristic of a particular culture, region, or community.
  • D. wears chosen
    Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
  • E. traditionalDrink
    Indicates that one entity is a beverage customarily consumed within the culture, heritage, or longstanding practices associated with another entity.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a25760af348190bf402089c240887d completed Feb. 28, 2026, 2:48 a.m.
PD Predicate disambiguation batch_69a2564417848190a8a8a38e97348963 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.