Triple
T33951390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | women's 100 metres hurdles |
E870449
|
entity |
| Predicate | previousStandardDistance |
P128748
|
FINISHED |
| Object | 80 metres hurdles |
—
|
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: 80 metres hurdles | Statement: [women's 100 metres hurdles, previousStandardDistance, 80 metres hurdles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousStandardDistance Context triple: [women's 100 metres hurdles, previousStandardDistance, 80 metres hurdles]
-
A.
distanceStandard
Indicates that a specified distance between entities is measured or evaluated according to a particular standard or reference criterion.
-
B.
primaryDistance
Indicates the main or most significant measure of distance between two entities in the relationship.
-
C.
formerDistance
chosen
Indicates that a distance or spatial separation between entities existed in the past but no longer holds in the present.
-
D.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
E.
designedForUseDistance
Indicates that something is intended or optimized to be used at a particular distance from the user or another object.
- 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_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
Created at: May 1, 2026, 1:49 a.m.