Triple
T29805312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dole-kun |
E756825
|
entity |
| Predicate | officialCharacterOf |
P196245
|
FINISHED |
| Object | Hokkaido Consadole Sapporo |
—
|
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: Hokkaido Consadole Sapporo | Statement: [Dole-kun, officialCharacterOf, Hokkaido Consadole Sapporo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialCharacterOf Context triple: [Dole-kun, officialCharacterOf, Hokkaido Consadole Sapporo]
-
A.
hasOfficialCharacter
Indicates that something possesses an authorized, formal, or legally recognized status or role within an official context.
-
B.
officialFrom
Indicates that a person holds or held an official position representing or originating from a specified place, organization, or jurisdiction.
-
C.
officialScriptOf
Indicates that one writing system is formally designated as the standard or legally recognized script used for a particular language, region, or entity.
-
D.
isOfficial
Indicates that an entity holds formal, authorized, or government-recognized status in a given context.
-
E.
representedByCharacter
Indicates that one entity is depicted, symbolized, or personified by a particular character in a work or medium.
- 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_69f2245584848190ad4cab1f07752ccb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fe189f2ea48190b8c4718f1353970e |
completed | May 8, 2026, 5:08 p.m. |
Created at: April 29, 2026, 5:21 p.m.