Triple
T24442761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eusébio da Silva Ferreira |
E616312
|
entity |
| Predicate | scoredGoalsFor |
P32660
|
FINISHED |
| Object | Portugal national football team |
—
|
NE NERFINISHED |
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: Portugal national football team | Statement: [Eusébio da Silva Ferreira, scoredGoalsFor, Portugal national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoredGoalsFor Context triple: [Eusébio da Silva Ferreira, scoredGoalsFor, Portugal national football team]
-
A.
scoredFor
chosen
Indicates that one entity achieved points or a score on behalf of another entity, such as a player scoring for a team.
-
B.
numberOfGoals
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.
famousGoalAgainst
Indicates that one entity is widely recognized for scoring a notable or iconic goal against another entity.
-
E.
finalGoalscorer
Indicates that an entity is the player who scored the last goal in a particular match or event.
- 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2985129cc8190b5c99747d2dbcac8 |
completed | April 29, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:17 a.m.