Triple
T22852537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007–08 Grand Prix Final |
E566389
|
entity |
| Predicate | featuresTopSkatersFrom |
P5844
|
FINISHED |
| Object | Grand Prix circuit |
—
|
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: Grand Prix circuit | Statement: [2007–08 Grand Prix Final, featuresTopSkatersFrom, Grand Prix circuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresTopSkatersFrom Context triple: [2007–08 Grand Prix Final, featuresTopSkatersFrom, Grand Prix circuit]
-
A.
featuresTopPlayersFrom
chosen
Indicates that something includes or showcases the most prominent or best-performing players from a specified source or group.
-
B.
featuresTopPlayers
Indicates that something prominently presents or showcases the most outstanding or highly ranked players.
-
C.
topScorer
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
-
D.
seasonBestKnownFor
Indicates the work, achievement, or characteristic for which a particular season is most notably recognized.
-
E.
iceDanceChampion
Indicates that the subject is the winner or titleholder of a competitive ice dancing event or 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb9a5b8819091cbb4ac42fbf778 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:36 p.m.