Triple
T33613154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Meares |
E861042
|
entity |
| Predicate | wonWorldChampionshipInEvent |
P104075
|
FINISHED |
| Object | sprint |
—
|
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 | Statement: [Anna Meares, wonWorldChampionshipInEvent, sprint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonWorldChampionshipInEvent Context triple: [Anna Meares, wonWorldChampionshipInEvent, sprint]
-
A.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
-
B.
wonChampionshipAgainst
Indicates that one competitor secured a championship title by defeating another specific opponent.
-
C.
wonWorldTitleIn
chosen
Indicates that an entity achieved victory in a world championship title in a specified competition or year.
-
D.
WorldChampionshipsEvent
Indicates an event that is part of, or constitutes, a world-level championship competition.
-
E.
featuredWorldChampion
Indicates that an entity has been highlighted or showcased specifically in its capacity as a world champion.
- 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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:41 a.m.