Triple
T22490152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hristo Stoichkov |
E555992
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object | Kashiwa Reysol |
—
|
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: Kashiwa Reysol | Statement: [Hristo Stoichkov, memberOfSportsTeam, Kashiwa Reysol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kashiwa Reysol Context triple: [Hristo Stoichkov, memberOfSportsTeam, Kashiwa Reysol]
-
A.
Kashiwa Reysol
chosen
Kashiwa Reysol is a professional Japanese football club based in Kashiwa, Chiba, that competes in the J.League.
-
B.
Kyoto Sanga FC
Kyoto Sanga FC is a professional Japanese football club based in Kyoto that competes in the J.League.
-
C.
Shimizu S-Pulse
Shimizu S-Pulse is a professional Japanese football club based in Shizuoka, known for competing in the J.League and having a passionate local fanbase.
-
D.
Tokyo Verdy
Tokyo Verdy is a historic Japanese professional football club based in Tokyo, known as one of the founding and most successful teams of the J.League’s early era.
-
E.
Urawa Reds
Urawa Reds is a professional Japanese football club based in Saitama, known as one of the most popular and successful teams in the J1 League.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c40930c81908310ac6afd98c62e |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.