Triple
T27886924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellmare Hiratsuka |
E705255
|
entity |
| Predicate | hasSuccessorClubName |
P190997
|
FINISHED |
| Object | Shonan Bellmare |
—
|
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: Shonan Bellmare | Statement: [Bellmare Hiratsuka, hasSuccessorClubName, Shonan Bellmare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuccessorClubName Context triple: [Bellmare Hiratsuka, hasSuccessorClubName, Shonan Bellmare]
-
A.
successorClubPlaysIn
Indicates that the club which succeeds another club participates in a specified league or competition.
-
B.
successorClubLocation
Indicates that the location specified is where the successor club of a previous sports or organizational club is based.
-
C.
successorClubCountry
Indicates that one club is the successor of another club within the same country, typically following reformation, relocation, or legal/organizational continuity.
-
D.
predecessorClubNickname
Indicates that one club’s nickname was previously used by another club that served as its predecessor.
-
E.
notableSuccessorClub
Indicates that one club is widely recognized as the prominent successor or continuation of another club.
- 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_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd866dd248190bff61c43bee93f54 |
completed | May 7, 2026, 6:22 p.m. |
Created at: April 27, 2026, 6:33 p.m.