Triple
T25904165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Women’s Euro 2022 Golden Boot |
E652704
|
entity |
| Predicate | jointTopScorer |
P103769
|
FINISHED |
| Object | Beth Mead |
—
|
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: Beth Mead | Statement: [UEFA Women’s Euro 2022 Golden Boot, jointTopScorer, Beth Mead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jointTopScorer Context triple: [UEFA Women’s Euro 2022 Golden Boot, jointTopScorer, Beth Mead]
-
A.
topScorer
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
-
B.
topScorerSharedWith
chosen
Indicates that the status or title of being the top scorer is jointly held or shared between the related entities.
-
C.
hasTopScorersList
Indicates that an entity maintains or is associated with a list of individuals or items ranked as top scorers.
-
D.
isTopScorerTitleOf
Indicates that one entity is the title or designation awarded to the top scorer associated with another entity (such as a competition, season, or team).
-
E.
topTryScorer
Indicates that the subject is the player who scored the highest number of tries in a given competition, season, 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603bd60c08190b6032dff3bdaf5e3 |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 8:26 a.m.