Triple
T38160813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Beck |
E953012
|
entity |
| Predicate | sportNumberOfGoalsScoredForTeam |
P9098
|
FINISHED |
| Object | 1. FC Magdeburg |
—
|
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: 1. FC Magdeburg | Statement: [Christian Beck, sportNumberOfGoalsScoredForTeam, 1. FC Magdeburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportNumberOfGoalsScoredForTeam Context triple: [Christian Beck, sportNumberOfGoalsScoredForTeam, 1. FC Magdeburg]
-
A.
numberOfGoals
chosen
Indicates the total count of goals scored or achieved by an entity in a given context.
-
B.
goalScorerTeam
Indicates that a team is the one for which a particular goal scorer scored a goal.
-
C.
playerGoal
Indicates that a player scores, achieves, or is credited with a goal in a game or match.
-
D.
goalsByOpponent
Indicates the number of goals scored by the opposing side in a game or match.
-
E.
ChelseaGoals
Indicates that the event or record involves goals scored by the football club Chelsea.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:21 p.m.