Triple
T22665378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premier League 2006–07 |
E559768
|
entity |
| Predicate | pointsOfChampions |
P149141
|
FINISHED |
| Object | 89 |
—
|
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: 89 | Statement: [Premier League 2006–07, pointsOfChampions, 89]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsOfChampions Context triple: [Premier League 2006–07, pointsOfChampions, 89]
-
A.
firstChampions
Indicates that the subject entities are the initial or earliest champions (winners or title holders) in a given competition, event, or context.
-
B.
seriesChampionships
Indicates that an entity has won one or more championships in a particular series or league.
-
C.
recordWinners
Indicates that an entity documents or stores information about the winners of a particular event, contest, or competition.
-
D.
championFinalsRecord
Indicates the win–loss record a champion has specifically in finals appearances.
-
E.
leagueOfChampionship
Indicates that a given championship is associated with, organized by, or belongs to a particular league.
- F. None of above. chosen
Provenance (4 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781b3dbc8190a312843cf8c1bfc6 |
completed | April 29, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:08 p.m.