Triple
T27892613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferran Corominas |
E705395
|
entity |
| Predicate | GoldenBoot |
P163751
|
FINISHED |
| Object | Indian Super League 2018–19 Golden Boot |
—
|
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: Indian Super League 2018–19 Golden Boot | Statement: [Ferran Corominas, GoldenBoot, Indian Super League 2018–19 Golden Boot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GoldenBoot Context triple: [Ferran Corominas, GoldenBoot, Indian Super League 2018–19 Golden Boot]
-
A.
goldenBootShared
Indicates that the Golden Boot award for top scorer in a competition was shared between two or more players rather than awarded to a single individual.
-
B.
goldenBootWinnerIncluded
Indicates that the set or group in question includes at least one entity who is a Golden Boot (top scorer) award winner.
-
C.
Juyo
Indicates a relationship where one entity is associated with or characterized by the concept or style referred to as "Juyo."
-
D.
goldenBootWinnerTeam
Indicates the team for which a player was playing when they won the Golden Boot award.
-
E.
الحفيد
Indicates a grandchild relationship, where one entity is the descendant (grandson or granddaughter) of another entity’s child.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63c045bd081908e0cb2a119202e8f |
completed | May 2, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63b3039808190b00bbd19161487f3 |
completed | May 2, 2026, 5:58 p.m. |
Created at: April 27, 2026, 6:36 p.m.