Triple
T21531991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ademir de Menezes |
E531251
|
entity |
| Predicate | goalsScoredInEvent |
P9098
|
FINISHED |
| Object | 9 goals in the 1950 FIFA World Cup |
—
|
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: 9 goals in the 1950 FIFA World Cup | Statement: [Ademir de Menezes, goalsScoredInEvent, 9 goals in the 1950 FIFA World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsScoredInEvent Context triple: [Ademir de Menezes, goalsScoredInEvent, 9 goals in the 1950 FIFA World Cup]
-
A.
scoredInEvent
Indicates that an entity achieved a score or result within a specific event or competition.
-
B.
numberOfGoals
chosen
Indicates the total count of goals scored or achieved by an entity in a given context.
-
C.
scoredGoalsInFinalOf
Indicates that one entity scored one or more goals in the final match of a specified competition or event.
-
D.
penaltyShootoutScore
Indicates the number of goals each side scored during a penalty shootout used to decide a tied match.
-
E.
scoredInMatch
Indicates that an entity (typically a player or team) scored during a particular match.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:27 p.m.