Triple
T2985329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XIV Olympiad |
E80610
|
entity |
| Predicate | japanParticipationStatus |
P28323
|
FINISHED |
| Object | not invited |
—
|
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: not invited | Statement: [XIV Olympiad, japanParticipationStatus, not invited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: japanParticipationStatus Context triple: [XIV Olympiad, japanParticipationStatus, not invited]
-
A.
certificationJapan
Indicates that an entity holds or is associated with a certification that is specific to or recognized in Japan.
-
B.
isJapanesePlayerInMLB
Indicates that a person is a Japanese baseball player who plays or has played in Major League Baseball (MLB).
-
C.
releaseDateJapan
Indicates the date on which something is officially released or made available in Japan.
-
D.
hasGlobalParticipation
Indicates that an entity is involved in or contributes to activities, initiatives, or operations that span multiple countries or have worldwide scope.
-
E.
countryParticipation
chosen
Indicates that a country takes part in, is involved with, or contributes to a particular event, activity, agreement, or organization.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c65ad0819087bb4ae92ab0dc55 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad9611fc348190a5d17d237f653f60 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.