Triple
T1495914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opel |
E29685
|
entity |
| Predicate | originalProductType |
P4682
|
FINISHED |
| Object | sewing machines |
—
|
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: sewing machines | Statement: [Opel, originalProductType, sewing machines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalProductType Context triple: [Opel, originalProductType, sewing machines]
-
A.
originalProducts
Indicates that one entity consists of or is derived from the initial or source products associated with another entity.
-
B.
originalType
chosen
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
C.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
D.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
E.
formerProduct
Indicates that an entity was previously a product of another entity but is no longer in that role or status.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6ec70c48190a94f6e1002848eae |
completed | March 1, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69a4c48a8cf48190a6ebf8d44a608a06 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.