Triple
T35330458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superstar Racing Experience |
E1020301
|
entity |
| Predicate | raceDistanceCharacteristic |
P27047
|
FINISHED |
| Object | short-distance events |
—
|
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: short-distance events | Statement: [Superstar Racing Experience, raceDistanceCharacteristic, short-distance events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceDistanceCharacteristic Context triple: [Superstar Racing Experience, raceDistanceCharacteristic, short-distance events]
-
A.
raceDistanceType
chosen
Indicates the specific type or category of distance over which a race is conducted.
-
B.
distancePerRace
Indicates the total distance covered in a single race event or instance.
-
C.
raceDistanceApprox
Indicates that the distance of a race is approximately equal to a specified value, allowing for some margin of error rather than requiring an exact match.
-
D.
raceAreaCharacteristic
Indicates that a specific area or region is characterized or defined by certain racial or ethnic attributes or demographics.
-
E.
trackRecordDistance
Indicates that one entity holds the record for the greatest distance achieved in a particular tracking or performance context.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.