Triple
T30526608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yali people |
E776863
|
entity |
| Predicate | femaleClothing |
P143842
|
FINISHED |
| Object | grass skirt |
—
|
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: grass skirt | Statement: [Yali people, femaleClothing, grass skirt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleClothing Context triple: [Yali people, femaleClothing, grass skirt]
-
A.
womenSection
Indicates that something is designated as belonging to, located in, or associated with the women's section or area.
-
B.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
C.
fashionItem
chosen
Indicates that one entity is a fashion-related product or accessory associated with, used by, or worn by another entity.
-
D.
fashionCategory
Indicates the classification of an item into a specific fashion-related category or type (e.g., clothing, footwear, accessories).
-
E.
femaleUnderparts
Indicates that an entity has underparts (the underside of its body) that are female in characteristic or associated with a female individual.
- 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_69f2249c11508190ae7e955755ccfb01 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6880f92d48190a6ac8547c34ef7d3 |
completed | May 2, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:17 p.m.