Triple
T31093416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English First Division 1953–54 |
E792452
|
entity |
| Predicate | usedGoalAverage |
P35992
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [English First Division 1953–54, usedGoalAverage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedGoalAverage Context triple: [English First Division 1953–54, usedGoalAverage, true]
-
A.
usesGoalAverage
chosen
Indicates that one entity determines outcomes or rankings based on the average number of goals scored, typically in a sports or competitive context.
-
B.
averageGoalsPerMatch
Indicates the typical number of goals scored per match in the context of the given entities or competition.
-
C.
internationalGoalsPerGameRatio
Indicates the ratio between the number of goals an entity scores in international matches and the number of international games it plays.
-
D.
playerGoal
Indicates that a player scores, achieves, or is credited with a goal in a game or match.
-
E.
scoringAverage
Indicates the typical or mean score achieved by an entity over a series of attempts, events, or performances.
- 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_69f224cf157c81909e2d2bd88c9282c3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:03 p.m.