Triple
T12483037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 FIFA World Cup Golden Boot winner |
E298358
|
entity |
| Predicate | nextGoldenBoot |
P2686
|
FINISHED |
| Object | 2010 FIFA World Cup Golden Boot winner |
—
|
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: 2010 FIFA World Cup Golden Boot winner | Statement: [2006 FIFA World Cup Golden Boot winner, nextGoldenBoot, 2010 FIFA World Cup Golden Boot winner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nextGoldenBoot Context triple: [2006 FIFA World Cup Golden Boot winner, nextGoldenBoot, 2010 FIFA World Cup Golden Boot winner]
-
A.
nextEdition
chosen
Indicates that one entity is the immediate subsequent edition or version that follows another in a sequence.
-
B.
nextSingle
Indicates that one entity is the immediately following single item in a sequence or ordered set relative to another entity.
-
C.
nextYear
Indicates that one time point occurs in the calendar year immediately following another time point.
-
D.
nextGenerationLaunch
Indicates the initiation or deployment of a subsequent, more advanced version of a product, system, or technology.
-
E.
fromNoseCame
Indicates that something originated from or was expelled out of a nose.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.