Triple
T28932983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Championships in Speed Skating |
E733836
|
entity |
| Predicate | notableDistanceCategory |
P104574
|
FINISHED |
| Object | sprint distances |
—
|
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: sprint distances | Statement: [World Championships in Speed Skating, notableDistanceCategory, sprint distances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDistanceCategory Context triple: [World Championships in Speed Skating, notableDistanceCategory, sprint distances]
-
A.
hasDistanceCategory
chosen
Indicates that one entity is associated with a qualitative or categorical classification of its distance relative to another entity or reference point.
-
B.
distanceCategory
Indicates the qualitative classification of how far apart two entities are from each other (e.g., near, medium, far).
-
C.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
D.
distanceOfNotableGoalApprox
Indicates an approximate measurement of how far away a notable goal or target is.
-
E.
notableCrossing
Indicates that one entity is a significant or well-known crossing point (such as a bridge, pass, or intersection) associated with another entity.
- 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a01bdacb52481909c56b0398106640e |
completed | May 11, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_6a01bd30c8ec8190b1e54d7658b01a8d |
completed | May 11, 2026, 11:27 a.m. |
Created at: April 28, 2026, 8:29 a.m.