Triple
T34282272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagaoka City |
E879623
|
entity |
| Predicate | hasPeaceCommemoration |
P500
|
FINISHED |
| Object | fireworks of white chrysanthemums |
—
|
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: fireworks of white chrysanthemums | Statement: [Nagaoka City, hasPeaceCommemoration, fireworks of white chrysanthemums]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeaceCommemoration Context triple: [Nagaoka City, hasPeaceCommemoration, fireworks of white chrysanthemums]
-
A.
commemoratedFor
Indicates that one entity is honored, remembered, or celebrated because of a particular action, achievement, event, or characteristic associated with it.
-
B.
commemoratedIn
Indicates that something is honored, remembered, or recognized within a particular work, event, place, or medium.
-
C.
commemoratedBy
chosen
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
-
D.
hasCommemorativeStructure
Indicates that one entity possesses or is associated with a physical structure created to honor, remember, or commemorate another entity or event.
-
E.
hasCommemorativePlaques
Indicates that one entity possesses or displays commemorative plaques associated with it.
- 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: May 1, 2026, 1:57 a.m.