Triple
T26120510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitano Tenmangu Shrine |
E658951
|
entity |
| Predicate | monthlyEventDay |
P159971
|
FINISHED |
| Object | 25th of each month |
—
|
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: 25th of each month | Statement: [Kitano Tenmangu Shrine, monthlyEventDay, 25th of each month]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monthlyEventDay Context triple: [Kitano Tenmangu Shrine, monthlyEventDay, 25th of each month]
-
A.
mainEventDate
Indicates the primary or most significant date on which the referenced event occurs or is scheduled to occur.
-
B.
annualEvent
Indicates that an event occurs once every year on a recurring basis.
-
C.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
D.
typicalEventMonth
Indicates the month in which an event or type of event typically occurs.
-
E.
calendarVariesBy
Indicates that the characteristics or values of a calendar (such as dates, events, or structure) change depending on another specified factor or context.
- 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_69ee5bc2b2948190b458ad3f580af779 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60acb357081909b4d9e869e4d2456 |
completed | May 2, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 26, 2026, 8:08 p.m.