Triple
T15055464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Route 66 |
E379478
|
entity |
| Predicate | product line |
P40829
|
FINISHED |
| Object | casual clothing |
—
|
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: casual clothing | Statement: [Route 66, product line, casual clothing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: product line Context triple: [Route 66, product line, casual clothing]
-
A.
productLineStart
Indicates the point in time or position at which a particular product line begins or is first introduced.
-
B.
productFamily
Indicates that one product belongs to, or is categorized under, a broader product family or line.
-
C.
belongsToProductLine
chosen
Indicates that an item or product is associated with and classified under a specific product line.
-
D.
productMix
Indicates the combination and relative proportions of different products or product types offered or involved in a given context.
-
E.
roleInProductLine
Indicates the specific functional or organizational role an entity holds within a particular product line.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda92091c81909180f486edf01405 |
completed | April 15, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:01 a.m.