Triple
T18850069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Souls’ Day |
E461015
|
entity |
| Predicate | notableLocationOfObservance |
P119236
|
FINISHED |
| Object | Catholic-majority countries |
—
|
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: Catholic-majority countries | Statement: [All Souls’ Day, notableLocationOfObservance, Catholic-majority countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableLocationOfObservance Context triple: [All Souls’ Day, notableLocationOfObservance, Catholic-majority countries]
-
A.
traditionalLocationOfObservance
Indicates the place where an event, practice, or observance has been customarily or historically carried out.
-
B.
isMostFamouslyObservedIn
chosen
Indicates that something is best known or primarily recognized for being observed or occurring in a particular place, context, or setting.
-
C.
notableLocation
Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
-
D.
notableLocationUse
Indicates that a location is notably used for a particular purpose, activity, or function associated with the subject.
-
E.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8f27cf481908c60fcdce412a224 |
completed | April 20, 2026, 5:26 a.m. |
| PD | Predicate disambiguation | batch_69e48d1e7dac81909ea1e758c87773c5 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:56 a.m.