Triple
T33951381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | women's 100 metres hurdles |
E870449
|
entity |
| Predicate | standardTrackLapFraction |
P189743
|
FINISHED |
| Object | 0.25 |
—
|
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: 0.25 | Statement: [women's 100 metres hurdles, standardTrackLapFraction, 0.25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardTrackLapFraction Context triple: [women's 100 metres hurdles, standardTrackLapFraction, 0.25]
-
A.
positionOnLap
Indicates that one entity is physically situated resting on the lap area of another entity.
-
B.
safetyCarLaps
Indicates the number of laps in a race that were completed under safety car conditions.
-
C.
lapLengthOfTrack
Indicates the distance or length of a single lap around a track.
-
D.
polePositionLapNumber
Indicates the specific lap number on which a competitor achieved the pole position time in a qualifying session.
-
E.
fastestLapShared
Indicates that two or more participants share the same fastest lap time in a given event or session.
- 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc9d0854c8190aa00093274afebb8 |
completed | May 6, 2026, 11:08 p.m. |
Created at: May 1, 2026, 1:49 a.m.