Triple
T4534086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kırkpınar oil wrestling festival |
E106363
|
entity |
| Predicate | requiresClothing |
P42160
|
FINISHED |
| Object | leather trousers (kispet) |
—
|
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: leather trousers (kispet) | Statement: [Kırkpınar oil wrestling festival, requiresClothing, leather trousers (kispet)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresClothing Context triple: [Kırkpınar oil wrestling festival, requiresClothing, leather trousers (kispet)]
-
A.
coatCharacteristic
Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
-
B.
typicallyWornWith
Indicates that one item of clothing or accessory is commonly or customarily worn together with another.
-
C.
hasGarment
chosen
Indicates that one entity possesses, wears, or is associated with a particular garment.
-
D.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
E.
wearingForm
Indicates that one entity is dressed in or has on a particular form of clothing, outfit, or wearable item.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57a08ec4819091b84d53d7b564a7 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521edd00819099dfccaa65dddd61 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.