Triple
T6550769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | songkok |
E151122
|
entity |
| Predicate | hasTypicalShape |
P40118
|
FINISHED |
| Object | brimless cap |
—
|
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: brimless cap | Statement: [songkok, hasTypicalShape, brimless cap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalShape Context triple: [songkok, hasTypicalShape, brimless cap]
-
A.
hasBillShape
Indicates that one entity has a bill whose shape matches the specified form or category.
-
B.
hasIrregularShape
Indicates that an entity possesses a form or outline that deviates from a regular, standard, or symmetrical shape.
-
C.
hasApproximateShape
Indicates that one entity has a shape that is similar to, but not exactly the same as, the shape of another entity.
-
D.
shaped
Indicates that one entity has given form, contour, or structure to another entity or outcome.
-
E.
hasSilhouetteShape
chosen
Indicates that one entity has the overall outline or contour shape specified or characterized by 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.