Triple
T33951410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | women's 100 metres hurdles |
E870449
|
entity |
| Predicate | commonIndoorEquivalent |
P145007
|
FINISHED |
| Object | women's 60 metres hurdles |
—
|
NE NERFINISHED |
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: women's 60 metres hurdles | Statement: [women's 100 metres hurdles, commonIndoorEquivalent, women's 60 metres hurdles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonIndoorEquivalent Context triple: [women's 100 metres hurdles, commonIndoorEquivalent, women's 60 metres hurdles]
-
A.
hasIndoorCounterpart
chosen
Indicates that something has a corresponding or equivalent version designed for use indoors.
-
B.
hasIndoorType
Indicates that an entity is associated with a specific type or category of indoor environment or indoor feature.
-
C.
indoorOutdoorRelation
Indicates a spatial relationship specifying whether something is located indoors, outdoors, or how it connects indoor and outdoor spaces.
-
D.
indoorSectionName
Indicates the specific named section or area within an indoor space to which an entity is related.
-
E.
indoorAdvantage
Indicates that an entity has a beneficial edge or improved performance when conditions or activities occur indoors rather than outdoors.
- 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_69fe9b0276d48190b554fa22b043e6d8 |
completed | May 9, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69fe999692b081909921e1148d66f0ef |
completed | May 9, 2026, 2:19 a.m. |
Created at: May 1, 2026, 1:49 a.m.