Triple
T18745737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badju |
E458399
|
entity |
| Predicate | relatedGarment |
P42160
|
FINISHED |
| Object | sawal (Tausug trousers) |
—
|
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: sawal (Tausug trousers) | Statement: [Badju, relatedGarment, sawal (Tausug trousers)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedGarment Context triple: [Badju, relatedGarment, sawal (Tausug trousers)]
-
A.
typicallyWornWith
Indicates that one item of clothing or accessory is commonly or customarily worn together with another.
-
B.
hasGarment
chosen
Indicates that one entity possesses, wears, or is associated with a particular garment.
-
C.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
D.
relatedToProduct
Indicates a general association or connection between an entity and a specific product, without specifying the exact nature of that relationship.
-
E.
traditionalDressSimilarTo
Indicates that one traditional dress resembles or shares notable stylistic or cultural features with another traditional dress.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57692c380819091e8a919ab6c9ca9 |
completed | April 20, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.