Triple
T28918517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baghdad Bounedjah |
E733439
|
entity |
| Predicate | finalGoalOpponent |
P185735
|
FINISHED |
| Object | Senegal 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: Senegal national football team | Statement: [Baghdad Bounedjah, finalGoalOpponent, Senegal national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalGoalOpponent Context triple: [Baghdad Bounedjah, finalGoalOpponent, Senegal national football team]
-
A.
finalOpponentTeam
Indicates the team that serves as the last or ultimate opposing team faced in a competition, series, or event.
-
B.
finalOpponentOf
Indicates that one entity serves as the last or ultimate opponent faced by another entity in a sequence of confrontations or competitions.
-
C.
finalLeagueMatchOpponent
Indicates the opposing team or player faced in an entity’s final league match.
-
D.
opponentGoalScorer
chosen
Indicates that an entity is the one who scored a goal for the opposing team against another entity.
-
E.
goalsByOpponent
Indicates the number of goals scored by the opposing side in a game or 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 28, 2026, 8:17 a.m.