Triple
T29802547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakura, Chiba, Japan |
E756744
|
entity |
| Predicate | hasFlowerFestival |
P3113
|
FINISHED |
| Object | cherry blossom festival |
—
|
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: cherry blossom festival | Statement: [Sakura, Chiba, Japan, hasFlowerFestival, cherry blossom festival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlowerFestival Context triple: [Sakura, Chiba, Japan, hasFlowerFestival, cherry blossom festival]
-
A.
hasFestival
chosen
Indicates that a location, community, or entity hosts or holds a festival or celebratory event.
-
B.
hasFestivalDepicted
Indicates that a work or representation includes a depiction or portrayal of a festival.
-
C.
hasFestivalPeriod
Indicates that there is a specific time period during which a festival or celebratory event takes place.
-
D.
hasFestivalFrequency
Indicates how often a festival or recurring celebratory event takes place within a given time period.
-
E.
hasFestivalSite
Indicates that a location or site is designated or used as the venue where a festival takes place.
- 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_69f2245584848190ad4cab1f07752ccb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 29, 2026, 5:19 p.m.