Triple
T38114450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bar suit |
E951751
|
entity |
| Predicate | waistConstruction |
P110046
|
FINISHED |
| Object | boned and padded structure |
—
|
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: boned and padded structure | Statement: [Bar suit, waistConstruction, boned and padded structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waistConstruction Context triple: [Bar suit, waistConstruction, boned and padded structure]
-
A.
waistEmphasis
Indicates that the relationship or action involves drawing attention to, highlighting, or accentuating the waist area.
-
B.
waistlinePosition
Indicates the relative vertical placement of a garment’s waistline on the body (e.g., high, natural, or low).
-
C.
beltPosition
Indicates the relative placement or alignment of a belt with respect to another object or reference point.
-
D.
forbidsHoldsBelowWaist
Indicates that one party prohibits another from holding or touching someone below the waist.
-
E.
clothingFeature
chosen
Indicates that one entity has a specific clothing-related attribute, detail, or characteristic associated with it.
- 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:21 p.m.