Triple
T33951375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | women's 100 metres hurdles |
E870449
|
entity |
| Predicate | hurdleHeight |
P107768
|
FINISHED |
| Object | 0.838 metres |
—
|
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: 0.838 metres | Statement: [women's 100 metres hurdles, hurdleHeight, 0.838 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hurdleHeight Context triple: [women's 100 metres hurdles, hurdleHeight, 0.838 metres]
-
A.
numberOfHurdles
Indicates the quantity of hurdles involved in or associated with a particular event, activity, or entity.
-
B.
leapHeight
Indicates the vertical distance an entity reaches when it jumps or leaps.
-
C.
springboardHeight
Indicates the vertical distance or elevation of a springboard relative to a reference level, such as the ground or water surface.
-
D.
obstacleHeightCharacteristic
chosen
Indicates the characteristic or measured value of an obstacle’s height in relation to a reference level or path.
-
E.
goalHeight
Indicates the target or desired height that something is intended or planned to reach.
- 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.