Triple
T1408435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prada |
E31748
|
entity |
| Predicate | originalProducts |
P26596
|
FINISHED |
| Object | leather trunks |
—
|
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: leather trunks | Statement: [Prada, originalProducts, leather trunks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalProducts Context triple: [Prada, originalProducts, leather trunks]
-
A.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
B.
formerProduct
Indicates that an entity was previously a product of another entity but is no longer in that role or status.
-
C.
hasOriginalsBrand
Indicates that one entity is associated with, or belongs to, the Originals brand of another entity.
-
D.
originalPrice
Indicates the monetary amount that something initially cost before any discounts, changes, or adjustments were applied.
-
E.
originalMarketingName
Indicates the original marketing or brand name under which an entity (such as a product or service) was first promoted or sold.
- F. None of above. chosen
Provenance (4 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bf7f0c8190aee96818de6ff4a5 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf048b648190ab77d9b45cb4855f |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf8158ac8190b8360ecccc2980bc |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:59 p.m.