Triple
T22513037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pietrelcina |
E556567
|
entity |
| Predicate | isBirthplaceOfSaint |
P133977
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pietrelcina, isBirthplaceOfSaint, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBirthplaceOfSaint Context triple: [Pietrelcina, isBirthplaceOfSaint, true]
-
A.
religiousFigureBornHere
chosen
Indicates that a notable religious figure was born at this location.
-
B.
isBirthplaceRelatedTo
Indicates that there is a relationship between an entity and a birthplace, such as being born there or otherwise closely associated with that place of birth.
-
C.
isArchdioceseSeatOf
Indicates that a particular archdiocese serves as the central ecclesiastical jurisdiction and administrative seat for a specified church region or authority.
-
D.
nearBirthplaceOf
Indicates that one entity is located close to the place where another entity was born.
-
E.
hasPatronSaint
Indicates that one entity serves as the patron saint associated with, protecting, or representing another entity.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d62bea48190aaf34aa93bb3f67b |
completed | April 29, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.