Triple
T36436718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pauma and Yuima Indian Reservation |
E897605
|
entity |
| Predicate | hasPrimaryReligionCurrently |
P139191
|
FINISHED |
| Object | Christianity |
—
|
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: Christianity | Statement: [Pauma and Yuima Indian Reservation, hasPrimaryReligionCurrently, Christianity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryReligionCurrently Context triple: [Pauma and Yuima Indian Reservation, hasPrimaryReligionCurrently, Christianity]
-
A.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
-
B.
hasPrimaryReligionComplex
chosen
Indicates that an entity is primarily associated with, practices, or is characterized by a particular religion or religious complex.
-
C.
hasMainReligionContext
Indicates that one entity serves as the primary religious context, tradition, or framework associated with another entity.
-
D.
hostReligion
Indicates that an entity organizes, accommodates, or provides a venue for a particular religious group, event, or practice.
-
E.
majorReligionCanBe
Indicates that an entity can have a particular major religion as one of its possible primary religious affiliations.
- 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_69f76e56636481908eda808ab0273401 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.