Triple
T26186793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokohama Flügels |
E654850
|
entity |
| Predicate | supportersFormedClub |
P101177
|
FINISHED |
| Object | Yokohama FC |
—
|
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: Yokohama FC | Statement: [Yokohama Flügels, supportersFormedClub, Yokohama FC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportersFormedClub Context triple: [Yokohama Flügels, supportersFormedClub, Yokohama FC]
-
A.
supportsClubFoundedIn
Indicates that an entity provides backing or endorsement to a club that was established in a specific year or time period.
-
B.
supportersGroupFounded
Indicates that a supporters group was established or came into existence at a specific time or by a specific founding event.
-
C.
associatedClubFounded
Indicates that there exists a club associated with an entity and specifies the date or time at which that associated club was founded.
-
D.
supportedClub
chosen
Indicates that one entity has given their backing, endorsement, or assistance to a particular club.
-
E.
foundingClub
Indicates that one entity is a club that participated as a founding member in the creation or establishment of another entity (such as a league, organization, or competition).
- 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: April 26, 2026, 8:42 p.m.