Triple
T1142106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1990 FIFA World Cup |
E23474
|
entity |
| Predicate | averageGoalsPerMatch |
P24386
|
FINISHED |
| Object | 2.21 |
—
|
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: 2.21 | Statement: [1990 FIFA World Cup, averageGoalsPerMatch, 2.21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageGoalsPerMatch Context triple: [1990 FIFA World Cup, averageGoalsPerMatch, 2.21]
-
A.
numberOfGoals
Indicates the total count of goals scored or achieved by an entity in a given context.
-
B.
penaltyShootoutScore
Indicates the number of goals each side scored during a penalty shootout used to decide a tied match.
-
C.
earnedRunAverage
Indicates the average number of earned runs a pitcher allows per nine innings pitched.
-
D.
penaltyShootoutWinner
Indicates that one competitor or team is the winner of a match decided by a penalty shootout.
-
E.
goalScorer
Indicates that the subject is the player who scored a particular goal in a game or match.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc4d414881908fc636e8ccbc4c34 |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4d4104819084027a043c6118cb |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bbb9fb4c81909dd39c496893c21b |
completed | March 1, 2026, 10:20 p.m. |
Created at: March 1, 2026, 7:44 p.m.