Triple
T16071679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo 2020 Closing Ceremony |
E389877
|
entity |
| Predicate | originalGamesYear |
P121767
|
FINISHED |
| Object | 2020 |
—
|
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: 2020 | Statement: [Tokyo 2020 Closing Ceremony, originalGamesYear, 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalGamesYear Context triple: [Tokyo 2020 Closing Ceremony, originalGamesYear, 2020]
-
A.
videoGameReleaseYear
Indicates the calendar year in which a particular video game was released.
-
B.
earliestGamesDecade
Indicates the decade during which an entity’s earliest games or game-related activities took place.
-
C.
firstGamesTraditionallyDated
Indicates that the subject’s earliest known or customary date of occurrence is based on traditional or conventional dating rather than precise historical evidence.
-
D.
productionYears
Indicates the span of calendar years during which something was produced or manufactured.
-
E.
numberOfReleasedGames
Indicates the total count of games that have been released by or associated with a given entity.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:57 a.m.