Triple
T35795598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tazio Nuvolari |
E1034820
|
entity |
| Predicate | hasSignatureCar |
P195791
|
FINISHED |
| Object | Alfa Romeo P3 |
—
|
NE NERFINISHED |
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: Alfa Romeo P3 | Statement: [Tazio Nuvolari, hasSignatureCar, Alfa Romeo P3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignatureCar Context triple: [Tazio Nuvolari, hasSignatureCar, Alfa Romeo P3]
-
A.
hasSignatureEquipment
Indicates that an entity is associated with a distinctive or characteristic piece of equipment that is uniquely or notably linked to it.
-
B.
hasCarClass
Indicates that one entity is associated with, or categorized under, a particular class or type of car.
-
C.
hasSign
Indicates that an entity possesses, displays, or is associated with a particular sign or symbol.
-
D.
hasSignatureCredit
Indicates that an entity possesses or is associated with a recognized signature-based credit or endorsement.
-
E.
hasSignatureUser
Indicates that a particular user is designated as the signer or signature owner associated with an entity or record.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69fde5d677b88190bc904e6df8617c18 |
completed | May 8, 2026, 1:32 p.m. |
Created at: May 3, 2026, 4:06 p.m.