Triple
T13337256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Truex Jr. |
E317727
|
entity |
| Predicate | previousCarNumber |
P103673
|
FINISHED |
| Object | 78 |
—
|
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: 78 | Statement: [Martin Truex Jr., previousCarNumber, 78]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousCarNumber Context triple: [Martin Truex Jr., previousCarNumber, 78]
-
A.
leadingCarNumber
Indicates the identifier or number assigned to the car that is currently in the leading position relative to others.
-
B.
hasCarNumberPreviously
chosen
Indicates that an entity has been associated with a specific car number at some earlier time before the current context.
-
C.
carNumberUsed
Indicates that a specific car number has been used or assigned in a given context or event.
-
D.
primaryCarNumberUsed
Indicates that a particular car number is the main or default one used for an entity in a given context.
-
E.
previousTransport
Indicates that one entity served as the immediately preceding mode or instance of transport for another entity in a sequence of movements or journeys.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d00b75c8190af98784c7df904c8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:31 p.m.