Triple
T7426988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Golden Shoe |
E171392
|
entity |
| Predicate | recordHolderAwardsCount |
P76937
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [European Golden Shoe, recordHolderAwardsCount, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordHolderAwardsCount Context triple: [European Golden Shoe, recordHolderAwardsCount, 8]
-
A.
numberOfTitlesHeldByRecordHolders
Indicates the total count of titles held by the entities that are recognized as record holders.
-
B.
mostAwardsHolder
Indicates that the subject is the entity that holds the highest number of awards within a given group or context.
-
C.
isAllTimeRecordHolderFor
Indicates that an entity holds the highest or best performance record of all time for a particular category, event, or metric.
-
D.
holdsNHLRecordFor
Indicates that an entity possesses or is credited with a specific National Hockey League (NHL) record in a given category or statistic.
-
E.
NFLRecordHeld
Indicates that one entity holds or has held a specific NFL record associated with another entity (such as a statistic, category, or achievement).
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3055b7881908269ab909c5a85b5 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1ee5ab8819091082324f2dc3b8c |
completed | March 27, 2026, 9:09 p.m. |
Created at: March 27, 2026, 3:12 p.m.