Triple
T36987429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candy Ride |
E915001
|
entity |
| Predicate | racingStatus |
P49215
|
FINISHED |
| Object | retired |
—
|
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: retired | Statement: [Candy Ride, racingStatus, retired]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racingStatus Context triple: [Candy Ride, racingStatus, retired]
-
A.
raceStatus
chosen
Indicates the current state or progress of an entity’s participation in a race or competitive event.
-
B.
raceStatusHistory
Indicates the recorded sequence of status changes or states that a race has undergone over time.
-
C.
F1Status
Indicates the current competitive or operational standing of an entity within the context of Formula 1 (e.g., active, reserve, retired, or otherwise classified in F1).
-
D.
statusOfGreyhoundRacing
Indicates the current legal or operational condition of greyhound racing within a given jurisdiction or context.
-
E.
notableRaceStatus
Indicates that an entity holds a distinguished or significant status in the context of a particular race or racing event.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.