Triple
T7236529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mawlawiyya |
E155241
|
entity |
| Predicate | wearsGarmentInRitual |
P271
|
FINISHED |
| Object | white robe |
—
|
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: white robe | Statement: [Mawlawiyya, wearsGarmentInRitual, white robe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wearsGarmentInRitual Context triple: [Mawlawiyya, wearsGarmentInRitual, white robe]
-
A.
partOfRitual
Indicates that an action, object, or event is included as a component or step within a larger ritual.
-
B.
hasClericalVestments
Indicates that one entity possesses or is associated with the clerical vestments (religious garments) of another entity.
-
C.
roleInRitual
Indicates the specific function, position, or responsibility an entity holds within a particular ritual or ceremonial activity.
-
D.
hasRitual
Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
-
E.
wears
chosen
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea552a688190a00f5d0ad982f787 |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7644648819096a5e2de5d0dbe97 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:55 p.m.