Triple
T12717733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Newman |
E303891
|
entity |
| Predicate | carNumberUsed |
P106324
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Ryan Newman, carNumberUsed, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carNumberUsed Context triple: [Ryan Newman, carNumberUsed, 12]
-
A.
hasCarNumberPreviously
Indicates that an entity has been associated with a specific car number at some earlier time before the current context.
-
B.
registrationNumber
Indicates the unique identifier assigned to an entity as part of an official or formal registration process.
-
C.
primaryCarNumberUsed
Indicates that a particular car number is the main or default one used for an entity in a given context.
-
D.
droveCarNumber
Indicates that a person operated or was driving a specific car identified by its number.
-
E.
leadingCarNumber
Indicates the identifier or number assigned to the car that is currently in the leading position relative to others.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620bd6148190a2f50067a4c18c14 |
completed | April 10, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69d960c088dc8190b0e63312c54e4c6c |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d961acadb8819098de743bc951fedb |
completed | April 10, 2026, 8:46 p.m. |
Created at: April 9, 2026, 5:23 p.m.