Triple
T23621049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parish Church of Pope John Paul II |
E583319
|
entity |
| Predicate | religiousUpbringingPlaceOf |
P153306
|
FINISHED |
| Object | Karol Wojtyła |
—
|
NE NERFINISHED |
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: Karol Wojtyła | Statement: [Parish Church of Pope John Paul II, religiousUpbringingPlaceOf, Karol Wojtyła]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousUpbringingPlaceOf Context triple: [Parish Church of Pope John Paul II, religiousUpbringingPlaceOf, Karol Wojtyła]
-
A.
placeOfWorshipLocation
Indicates the location where a particular place of worship is situated or found.
-
B.
religiousEnvironment
Indicates the religious context, atmosphere, or setting in which an entity exists or an action takes place.
-
C.
traditionalReligionSchool
Indicates that a school is affiliated with, influenced by, or primarily teaches according to a traditional religion or religious tradition.
-
D.
localReligion
Indicates that a particular religion is practiced or holds significance within a specific local area or community.
-
E.
hasPlaceOfWorship
Indicates that an entity possesses, contains, or is associated with a designated location used for religious or spiritual worship.
- 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_69e248fc8d74819091bd5baef2f36f6f |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b178d20c819094b547c6c7ae6c01 |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f138b8c9248190b059bc38a9a50958 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 17, 2026, 6:46 p.m.