Triple
T19854677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soma Intimates |
E477098
|
entity |
| Predicate | offersSizeRange |
P12465
|
FINISHED |
| Object | extended bra sizes |
—
|
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: extended bra sizes | Statement: [Soma Intimates, offersSizeRange, extended bra sizes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersSizeRange Context triple: [Soma Intimates, offersSizeRange, extended bra sizes]
-
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.
offersGradeRange
Indicates that an entity provides educational instruction or services spanning a specified range of grade levels.
-
D.
categoryRange
Indicates that a category or classification spans from a defined lower bound to an upper bound within a specified range.
-
E.
offersCapacityRange
Indicates that an entity provides or makes available a service, product, or resource whose capacity is specified as a range between a minimum and maximum value.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586b5b088190948ef002c1e77176 |
completed | April 20, 2026, 4:46 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.