Triple
T17799441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina at 1994 FIFA World Cup |
E444380
|
entity |
| Predicate | maradonaWorldCupGoalsTotalAfterTournament |
P43243
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Argentina at 1994 FIFA World Cup, maradonaWorldCupGoalsTotalAfterTournament, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maradonaWorldCupGoalsTotalAfterTournament Context triple: [Argentina at 1994 FIFA World Cup, maradonaWorldCupGoalsTotalAfterTournament, 8]
-
A.
tournamentOutcomeForMaradona
Indicates the outcome or result that a particular tournament had for Maradona.
-
B.
worldCupGoals
chosen
Indicates the number of goals an entity scored in World Cup matches.
-
C.
scoredGoalsInFinalOf
Indicates that one entity scored one or more goals in the final match of a specified competition or event.
-
D.
significanceForMaradona
Indicates that something holds particular importance, relevance, or special meaning specifically for Maradona.
-
E.
FIFAWorldCupGoalsRank
Indicates the ranking of entities based on the number of goals they have scored in FIFA World Cup competitions.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fe19dc8190b7e9dc96f39e0861 |
completed | April 19, 2026, 7:45 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:13 a.m.