Triple
T36115990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Cassidy |
E1044614
|
entity |
| Predicate | participationRegion |
P136800
|
FINISHED |
| Object | Japan |
—
|
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: Japan | Statement: [Nick Cassidy, participationRegion, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participationRegion Context triple: [Nick Cassidy, participationRegion, Japan]
-
A.
participantsRegion
Indicates that the related entities are associated with, originate from, or operate within a specified geographic region.
-
B.
regionalCompetitionParticipation
chosen
Indicates that an entity takes part in a competition or contest organized at a regional level.
-
C.
socialRegionFor
Indicates a relationship where a social entity (such as a group, community, or organization) is associated with or operates within a particular geographic or social region.
-
D.
partyBaseRegion
Indicates the geographic region that serves as the primary base or stronghold for a political party.
-
E.
clubRegion
Indicates that a club is located in, associated with, or belongs to a particular geographic region.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:08 p.m.