Triple
T36390762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Many Clouds |
E896319
|
entity |
| Predicate | raceDistanceSpecialization |
P185428
|
FINISHED |
| Object | staying distances |
—
|
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: staying distances | Statement: [Many Clouds, raceDistanceSpecialization, staying distances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceDistanceSpecialization Context triple: [Many Clouds, raceDistanceSpecialization, staying distances]
-
A.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
B.
specializedDistance
Indicates a relationship where the distance between entities is measured or defined using a specific, non-standard metric or specialized criterion.
-
C.
distancePerRace
Indicates the total distance covered in a single race event or instance.
-
D.
majorRaceDistance
Indicates the standard or primary distance over which a major race or competition is contested.
-
E.
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.
- 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.