Triple
T28623682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Flannel Town |
E724453
|
entity |
| Predicate | garmentTypeAssociated |
P15063
|
FINISHED |
| Object | flannel underwear |
—
|
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: flannel underwear | Statement: [Red Flannel Town, garmentTypeAssociated, flannel underwear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: garmentTypeAssociated Context triple: [Red Flannel Town, garmentTypeAssociated, flannel underwear]
-
A.
garmentType
chosen
Indicates the specific kind or category of garment associated with an entity.
-
B.
hasGarment
Indicates that one entity possesses, wears, or is associated with a particular garment.
-
C.
fashionLabelType
Indicates the specific category or type of fashion label associated with an item or brand.
-
D.
typicallyWornWith
Indicates that one item of clothing or accessory is commonly or customarily worn together with another.
-
E.
fashionItem
Indicates that one entity is a fashion-related product or accessory associated with, used by, or worn 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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:34 a.m.