Triple
T15843213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midland F1 Racing |
E384147
|
entity |
| Predicate | carNumberRange |
P106324
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [Midland F1 Racing, carNumberRange, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carNumberRange Context triple: [Midland F1 Racing, carNumberRange, 18]
-
A.
typicalCarNumberRange
Indicates the usual or commonly expected numerical range of cars associated with an entity (such as a location, time period, or context).
-
B.
RVNumberRange
Indicates that a recreational vehicle’s number or identifier falls within a specified numeric range.
-
C.
roadNumberRange
Indicates that a road is identified by a continuous range of road numbers between a specified minimum and maximum.
-
D.
carNumberUsed
chosen
Indicates that a specific car number has been used or assigned in a given context or event.
-
E.
articleNumberRange
Indicates that something is associated with or falls within a specified range of article numbers.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142ea3da08190a9d2d5917f84907c |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005434ed88190baf11c169da3cf29 |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.