Triple
T28918518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baghdad Bounedjah |
E733439
|
entity |
| Predicate | finalGoalMinuteApprox |
P187037
|
FINISHED |
| Object | early minutes of first half |
—
|
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: early minutes of first half | Statement: [Baghdad Bounedjah, finalGoalMinuteApprox, early minutes of first half]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalGoalMinuteApprox Context triple: [Baghdad Bounedjah, finalGoalMinuteApprox, early minutes of first half]
-
A.
minuteOfGoal
Indicates the specific minute in a match when a particular goal was scored.
-
B.
minuteOfOpeningGoal
Indicates the specific minute in a match when the first (opening) goal is scored.
-
C.
fastestGoalTime
Indicates the shortest amount of time taken by an entity to achieve a specified goal or outcome.
-
D.
decidingGoalMinute
Indicates the minute in a match when a goal is scored that ultimately decides the outcome (e.g., the winning or decisive goal).
-
E.
awayTeamEqualiserMinute
Indicates the minute of the match in which the away team scored the goal that brought the scores level.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: April 28, 2026, 8:17 a.m.