Triple
T23127397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Champions League top scorer |
E577067
|
entity |
| Predicate | goalsCountedFrom |
P9098
|
FINISHED |
| Object | group stage |
—
|
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: group stage | Statement: [UEFA Champions League top scorer, goalsCountedFrom, group stage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsCountedFrom Context triple: [UEFA Champions League top scorer, goalsCountedFrom, group stage]
-
A.
goalNumber
Indicates that an entity is associated with a specific target or objective quantified as a number.
-
B.
goalsFor
Indicates the number of goals scored by one participant or team in favor of a particular side or match context.
-
C.
numberOfGoals
chosen
Indicates the total count of goals scored or achieved by an entity in a given context.
-
D.
goalAtEnd
Indicates that a particular goal or objective holds true or is achieved at the final state or endpoint of a process, sequence, or event.
-
E.
goalIn
Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity or context.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e55aa38819092816ffc52e20dbe |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:59 p.m.