Triple
T1263076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Football League |
E12541
|
entity |
| Predicate | pointsForWin |
P24875
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [English Football League, pointsForWin, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsForWin Context triple: [English Football League, pointsForWin, 3]
-
A.
winnerPoints
Indicates the number of points earned by the winning participant or entity in a competition or event.
-
B.
winsWithTeam
Indicates that an entity achieves a victory as a member of, or in conjunction with, a specific team.
-
C.
gameWinningScoreType
Indicates the type or category of score (e.g., goal, point, run) that results in winning a game.
-
D.
points
Indicates that one entity directs attention, focus, or a physical/abstract indication toward another entity or location.
-
E.
totalPointsScored
Indicates the total number of points accumulated or scored by an entity over a defined period, event, or context.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc8d6908190a5b2cf1051cc6d5e |
completed | March 1, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69a4bb7058e88190825b0cba5ee60b51 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc218cb8819090bff71ac7107a03 |
completed | March 1, 2026, 10:22 p.m. |
Created at: March 1, 2026, 7:50 p.m.