Triple
T4412747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cigar |
E94888
|
entity |
| Predicate | raceRecord |
P55485
|
FINISHED |
| Object | 33 starts, 19 wins, 4 seconds, 5 thirds |
—
|
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: 33 starts, 19 wins, 4 seconds, 5 thirds | Statement: [Cigar, raceRecord, 33 starts, 19 wins, 4 seconds, 5 thirds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceRecord Context triple: [Cigar, raceRecord, 33 starts, 19 wins, 4 seconds, 5 thirds]
-
A.
raceMeeting
Indicates a competitive event where multiple participants race against each other under shared rules and conditions.
-
B.
raceWins
Indicates that one participant wins or finishes ahead of another in a race or competitive event.
-
C.
timingOfRace
Indicates the temporal details or schedule associated with a race, such as its start time, duration, or overall timing.
-
D.
raceStatus
Indicates the current state or progress of an entity’s participation in a race or competitive event.
-
E.
raceDayIncludes
Indicates that a particular race day schedule or event set contains or encompasses a specific race or racing-related activity.
- F. None of above. chosen
Provenance (4 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e7b30c819082ee781dd202dcc4 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff7018c81908ad8597e525c042b |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:29 p.m.