Triple
T11834381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Division 1972–73 |
E281476
|
entity |
| Predicate | championsGoalDifference |
P51308
|
FINISHED |
| Object | +30 |
—
|
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: +30 | Statement: [First Division 1972–73, championsGoalDifference, +30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championsGoalDifference Context triple: [First Division 1972–73, championsGoalDifference, +30]
-
A.
leagueGoalDifference
chosen
Indicates the numerical difference between goals scored and goals conceded by an entity within a league competition.
-
B.
championsGoalAverage
Indicates the average number of goals scored (or conceded) by a champion over a defined set of games or season.
-
C.
championLeague
Indicates that an entity has won or holds the championship title in a particular league or competitive event.
-
D.
leagueChampionshipTeam
Indicates that a team is the champion or title-winning team of a particular league competition.
-
E.
runnersUpGoalAverage
Indicates the average number of goals scored by entities that finished as runners-up in a competition or ranking.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62e7e408190998bebe346c82e89 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.