Triple
T18318582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masar |
E438809
|
entity |
| Predicate | hasRacingStyle |
P56420
|
FINISHED |
| Object | prominent racer with strong finishing kick |
—
|
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: prominent racer with strong finishing kick | Statement: [Masar, hasRacingStyle, prominent racer with strong finishing kick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRacingStyle Context triple: [Masar, hasRacingStyle, prominent racer with strong finishing kick]
-
A.
styleOfRacing
chosen
Indicates the specific manner or approach in which an entity participates in or performs racing.
-
B.
hasRacingCode
Indicates that an entity is associated with a specific racing classification or identifier code.
-
C.
hasDrivingStyle
Indicates the characteristic manner or pattern in which an entity typically drives.
-
D.
hasParkStyle
Indicates that an entity possesses or is characterized by a particular style or type of park.
-
E.
hasRaceFormat
Indicates that an entity is associated with, or characterized by, a particular race format or type of race structure.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa342a881909afcd995405027af |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.