Triple
T3544183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tingle Creek Chase |
E74955
|
entity |
| Predicate | raceTypeByAge |
P48792
|
FINISHED |
| Object | chase for horses aged four years or older |
—
|
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: chase for horses aged four years or older | Statement: [Tingle Creek Chase, raceTypeByAge, chase for horses aged four years or older]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceTypeByAge Context triple: [Tingle Creek Chase, raceTypeByAge, chase for horses aged four years or older]
-
A.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
B.
raceTypeHosted
Indicates that a particular type of race is organized or held by a given host or organizing entity.
-
C.
raceStartType
Indicates the manner or format in which a race is initiated (e.g., type or method of starting the race).
-
D.
speedClass
Indicates the categorical speed level or range assigned to an entity based on how fast it moves or operates.
-
E.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf76c5b08190b898d31b80a3a350 |
completed | March 8, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69adae15749881909b847c6ca73c934e |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb0a11a1c8190baa8c0eb87ad259a |
completed | March 8, 2026, 5:23 p.m. |
Created at: March 8, 2026, 3:20 p.m.