Triple
T29543498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porsche 961 |
E749566
|
entity |
| Predicate | productionPurpose |
P191974
|
FINISHED |
| Object | factory racing program |
—
|
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: factory racing program | Statement: [Porsche 961, productionPurpose, factory racing program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionPurpose Context triple: [Porsche 961, productionPurpose, factory racing program]
-
A.
productionCategory
Indicates the classification or type of production process, output, or activity that an entity is associated with.
-
B.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
-
C.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
D.
cargoPurpose
Indicates the intended function or use for which a particular cargo is being transported.
-
E.
productionBasis
Indicates the underlying method, principle, or criteria on which something is produced or manufactured.
- 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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
| PDg | Predicate description generation | batch_69fcf1b241888190a243f07051c71383 |
completed | May 7, 2026, 8:10 p.m. |
Created at: April 28, 2026, 5:05 p.m.