Triple
T1324310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mevleviyya |
E28289
|
entity |
| Predicate | ritualDress |
P6085
|
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: [Mevleviyya, ritualDress, white robe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ritualDress Context triple: [Mevleviyya, ritualDress, white robe]
-
A.
ceremonialDressFeature
chosen
Indicates that one entity is a characteristic, component, or distinguishing element of another entity’s ceremonial dress or attire.
-
B.
ritualCharacteristics
Indicates the defining features, practices, or attributes that characterize a particular ritual.
-
C.
nationalDress
Indicates that an item of clothing is recognized as the traditional or customary dress associated with a particular nation or culture.
-
D.
costumeType
Indicates the specific kind or category of costume associated with an entity.
-
E.
hasRitual
Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19e81c0819092f85201ae34422a |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beedb49c8190beb5b85cdda05013 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.