Triple
T17933171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mill Reef |
E448384
|
entity |
| Predicate | racingDistanceSpecialty |
P27047
|
FINISHED |
| Object | middle-distance |
—
|
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: middle-distance | Statement: [Mill Reef, racingDistanceSpecialty, middle-distance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racingDistanceSpecialty Context triple: [Mill Reef, racingDistanceSpecialty, middle-distance]
-
A.
raceDistanceType
chosen
Indicates the specific type or category of distance over which a race is conducted.
-
B.
majorRaceDistance
Indicates the standard or primary distance over which a major race or competition is contested.
-
C.
hasRacingDiscipline
Indicates that an entity participates in, is associated with, or is characterized by a specific type or category of racing discipline.
-
D.
racecourseType
Indicates the specific kind or classification of a racecourse associated with an entity.
-
E.
specializedDistance
Indicates a relationship where the distance between entities is measured or defined using a specific, non-standard metric or specialized criterion.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a55381708190b5dfce6a81bb20d8 |
completed | April 19, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.