Triple
T4460903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division I Women’s Cross Country Championships |
E98250
|
entity |
| Predicate | previousRaceDistance |
P27047
|
FINISHED |
| Object | 5 kilometers |
—
|
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: 5 kilometers | Statement: [NCAA Division I Women’s Cross Country Championships, previousRaceDistance, 5 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousRaceDistance Context triple: [NCAA Division I Women’s Cross Country Championships, previousRaceDistance, 5 kilometers]
-
A.
majorRaceDistance
Indicates the standard or primary distance over which a major race or competition is contested.
-
B.
raceDistanceType
chosen
Indicates the specific type or category of distance over which a race is conducted.
-
C.
raceMeeting
Indicates a competitive event where multiple participants race against each other under shared rules and conditions.
-
D.
hourRecordDistance
Indicates that one entity holds or represents the record for the greatest distance covered within a one-hour time period relative to another entity or context.
-
E.
previousCompetition
Indicates that one competition occurred before another in time.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35673337c8190b923159791ec27e3 |
completed | March 13, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69b34f65f6448190abfadb2ae5658798 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:34 p.m.