Triple
T37249727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judo at the 1964 Summer Olympics |
E923955
|
entity |
| Predicate | impactOnHostNation |
P190533
|
FINISHED |
| Object | enhanced national pride in Japan |
—
|
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: enhanced national pride in Japan | Statement: [Judo at the 1964 Summer Olympics, impactOnHostNation, enhanced national pride in Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnHostNation Context triple: [Judo at the 1964 Summer Olympics, impactOnHostNation, enhanced national pride in Japan]
-
A.
hasHostNation
Indicates that one entity serves as the host nation for another entity, such as an event, organization, or activity.
-
B.
openingPhaseHostCountry
Indicates that a country serves as the host nation for the opening phase of an event or competition.
-
C.
hostedOnHomeSoilOfChampion
Indicates that an event or competition took place in the home country or territory of the eventual champion.
-
D.
impactOnField
Indicates the effect or influence that one entity, action, or development has on a particular field or domain.
-
E.
hostImpact
Indicates that one entity causes an effect, influence, or change on another entity that acts as its host.
- 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcc7779d248190afdb348a95375443 |
completed | May 7, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
| PDg | Predicate description generation | batch_69fcc73264e08190b0b5917f32226fae |
completed | May 7, 2026, 5:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.