Triple
T23322612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kohei Uchimura |
E591193
|
entity |
| Predicate | worldAllAroundTitles |
P71562
|
FINISHED |
| Object | 6 consecutive (2009–2015) |
—
|
LITERAL FINISHED |
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: 6 consecutive (2009–2015) | Statement: [Kohei Uchimura, worldAllAroundTitles, 6 consecutive (2009–2015)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldAllAroundTitles Context triple: [Kohei Uchimura, worldAllAroundTitles, 6 consecutive (2009–2015)]
-
A.
worldTitleOrganization
Indicates that an organization holds or is associated with a world-level title or championship.
-
B.
worldTitleYear
Indicates that a work holds a world title associated with a specific year.
-
C.
worldName
Indicates that an entity has or is associated with a specific world’s name.
-
D.
worldTitles
chosen
Indicates that an entity has won one or more world championship titles in a given field or competition.
-
E.
regionalTitles
Indicates that an entity holds or is associated with titles or designations that are specific to particular geographic regions.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978672148190bb90804361bb896b |
completed | April 29, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:07 p.m.