Triple
T12215361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Games of the XII Olympiad |
E291067
|
entity |
| Predicate | decisionToAwardToTokyoYear |
P53237
|
FINISHED |
| Object | 1936 |
—
|
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: 1936 | Statement: [Games of the XII Olympiad, decisionToAwardToTokyoYear, 1936]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decisionToAwardToTokyoYear Context triple: [Games of the XII Olympiad, decisionToAwardToTokyoYear, 1936]
-
A.
yearDecided
Indicates the specific calendar year in which a decision, ruling, or resolution was formally made or finalized.
-
B.
awardedAtIOCSessionYear
chosen
Indicates the year in which an award or decision was conferred during a specific IOC (International Olympic Committee) session.
-
C.
awardDeterminedBy
Indicates that the granting or outcome of an award is decided based on a specified factor, process, or decision-making entity.
-
D.
awardingCity
Indicates the city in which an award is formally given or conferred.
-
E.
initialAwardYear
Indicates the year in which an entity first received a particular award.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.