Triple
T36790489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creating Curves |
E909038
|
entity |
| Predicate | sizeRangeFocus |
P12465
|
FINISHED |
| Object | plus-size |
—
|
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: plus-size | Statement: [Creating Curves, sizeRangeFocus, plus-size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sizeRangeFocus Context triple: [Creating Curves, sizeRangeFocus, plus-size]
-
A.
includesSizeRange
chosen
Indicates that one entity specifies or covers a particular range of sizes associated with another entity.
-
B.
rangeSizeConfigurable
Indicates that the size of the range associated with an entity can be adjusted or configured rather than being fixed.
-
C.
weightRangeDescription
Indicates the textual description that specifies the range within which an entity’s weight falls.
-
D.
rangeSize
Indicates the extent or magnitude of the range over which something applies, varies, or is distributed.
-
E.
sizeDefinedBy
Indicates that the size or magnitude of one entity is determined, constrained, or specified 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.