Triple
T15612903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sehajdhari Sikhs |
E375341
|
entity |
| Predicate | mayNotWear |
P39890
|
FINISHED |
| Object | turban |
—
|
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: turban | Statement: [Sehajdhari Sikhs, mayNotWear, turban]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayNotWear Context triple: [Sehajdhari Sikhs, mayNotWear, turban]
-
A.
notWornWith
Indicates that one item is not worn at the same time as another item, implying mutual exclusivity in being worn together.
-
B.
mayBeWorn
Indicates that one entity is suitable or allowed to be worn by another entity, typically as clothing, accessories, or adornment.
-
C.
mayNotFit
Indicates that one entity is unlikely or not expected to be suitable in size, capacity, or compatibility to be placed into, combined with, or used within another entity or context.
-
D.
mayNot
chosen
Indicates that an entity is not permitted or is prohibited from performing a particular action or entering into a specified relationship.
-
E.
notWornBy
Indicates that a particular item or object is explicitly not being worn or used as clothing/accessory by a specified 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8148a0819087d6d69cc84487ca |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:13 a.m.