Triple
T12017914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saki Matsuri |
E286072
|
entity |
| Predicate | numberOfMainParadesInFestival |
P46841
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Saki Matsuri, numberOfMainParadesInFestival, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMainParadesInFestival Context triple: [Saki Matsuri, numberOfMainParadesInFestival, 2]
-
A.
mainParade
Indicates the relationship where an event or entity serves as the primary or central parade associated with a given context or occasion.
-
B.
mainFestivalDay
Indicates that a particular day is the primary or most significant day within a festival’s overall schedule.
-
C.
mainFestival
Indicates that an event is the primary or central festival associated with a particular context, place, or entity.
-
D.
hasParades
Indicates that an entity regularly holds or hosts parades as events or activities.
-
E.
numberOfMainEvents
chosen
Indicates the total count of primary or most significant events associated with a given entity or context.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.