Triple
T1334519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Showa Day |
E28716
|
entity |
| Predicate | observanceActivities |
P12145
|
FINISHED |
| Object | visiting museums and historical sites |
—
|
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: visiting museums and historical sites | Statement: [Showa Day, observanceActivities, visiting museums and historical sites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observanceActivities Context triple: [Showa Day, observanceActivities, visiting museums and historical sites]
-
A.
typicalObservances
chosen
Indicates the customary practices, rituals, or activities that are commonly carried out in association with something (such as an event, tradition, or occasion).
-
B.
observance
Indicates the performance or maintenance of a practice, rule, or custom in accordance with prescribed or expected standards.
-
C.
religiousActivity
Indicates participation in, performance of, or association with practices, rituals, or behaviors related to a religion or faith tradition.
-
D.
annualEvent
Indicates that an event occurs once every year on a recurring basis.
-
E.
celebratedEvent
Indicates that an entity has been honored, commemorated, or festively observed as a special event.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1eb119881909dd5fbf728d9e8ba |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef174708190a07bbc697fe19a2d |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.