Triple
T28823251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christine Ohuruogu |
E727828
|
entity |
| Predicate | representedAtWorldChampionships |
P17510
|
FINISHED |
| Object | 2005 World Championships in Athletics |
—
|
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: 2005 World Championships in Athletics | Statement: [Christine Ohuruogu, representedAtWorldChampionships, 2005 World Championships in Athletics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedAtWorldChampionships Context triple: [Christine Ohuruogu, representedAtWorldChampionships, 2005 World Championships in Athletics]
-
A.
WorldChampionshipAppearances
Indicates the number of times an entity has participated in a world championship competition.
-
B.
WorldChampionshipParticipation
chosen
Indicates that an entity has taken part in a world championship event or competition.
-
C.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
-
D.
hasWorldChampionshipMatches
Indicates that an entity is associated with one or more matches that are part of a world championship competition.
-
E.
worldChampionshipDebut
Indicates the event or occasion on which an entity first appeared or participated in a world championship.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: April 28, 2026, 6:35 a.m.