Triple
T6550784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | songkok |
E151122
|
entity |
| Predicate | wornByGender |
P29732
|
FINISHED |
| Object | men |
—
|
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: men | Statement: [songkok, wornByGender, men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wornByGender Context triple: [songkok, wornByGender, men]
-
A.
usedByGender
chosen
Indicates that something is utilized, applied, or engaged in by entities of a specified gender.
-
B.
isGenderSpecificCategory
Indicates that the category applies specifically to one gender rather than being gender-neutral.
-
C.
isUnisex
Indicates that something is suitable, designed, or intended for use by individuals of any gender.
-
D.
wearerType
Indicates the type or category of entity that is intended to wear or use the associated item.
-
E.
namedForGender
Indicates that one entity is named in a way that reflects or is derived from a particular gender or gender-related characteristic of another entity.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:51 p.m.