Triple
T33539531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1964 Olympics women’s 400 metres |
E859032
|
entity |
| Predicate | laneStart |
P177083
|
FINISHED |
| Object | staggered start |
—
|
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: staggered start | Statement: [1964 Olympics women’s 400 metres, laneStart, staggered start]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laneStart Context triple: [1964 Olympics women’s 400 metres, laneStart, staggered start]
-
A.
startsAtRoad
Indicates that something begins or originates at a specific road or roadway location.
-
B.
laneSurface
Indicates the type or condition of the surface that makes up a lane used for travel or traffic.
-
C.
laneAssignment
Indicates the specific lane or set of lanes that an entity (such as a vehicle or participant) is assigned to use within a multi-lane context.
-
D.
laneLength
Indicates the length or distance of a lane in a given context.
-
E.
laneCount
Indicates the number of parallel lanes associated with a given road or roadway segment.
- 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_69f3497a5be08190a39b12736899e034 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f85ca7c0819098069384b0d1ca6a |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f814fcf48190ae4504154d1b2c05 |
completed | May 3, 2026, 7:24 a.m. |
Created at: May 1, 2026, 1:39 a.m.