Triple
T29039015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | women's 100 metres |
E737941
|
entity |
| Predicate | laneMarking |
P1777
|
FINISHED |
| Object | 8 lanes in major championships |
—
|
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: 8 lanes in major championships | Statement: [women's 100 metres, laneMarking, 8 lanes in major championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laneMarking Context triple: [women's 100 metres, laneMarking, 8 lanes in major championships]
-
A.
routeMarkingStandard
Indicates the standard or convention used to mark or signpost a particular route.
-
B.
colorOfTrailMarkings
Indicates the relationship specifying what color the trail’s markings are.
-
C.
laneStructure
Indicates the structural organization and configuration of lanes within a roadway or traffic facility.
-
D.
laneSurface
Indicates the type or condition of the surface that makes up a lane used for travel or traffic.
-
E.
roadFeature
chosen
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6603f2f88819080e922efd5f23f04 |
completed | May 2, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10 a.m.