Triple
T27034497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ジョージタウン大学 |
E681015
|
entity |
| Predicate | 宗教的提携 |
P53759
|
FINISHED |
| Object | カトリック教会 |
—
|
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: カトリック教会 | Statement: [ジョージタウン大学, 宗教的提携, カトリック教会]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 宗教的提携 Context triple: [ジョージタウン大学, 宗教的提携, カトリック教会]
-
A.
promotedReligion
Indicates that an entity actively supported, advocated for, or worked to spread a particular religion.
-
B.
religiousSceneSpecialization
Indicates a relationship where a scene is specifically characterized or classified by a particular religious theme, context, or function.
-
C.
religiousInstitutionShared
Indicates that two entities are associated with or participate in the same religious institution or organization.
-
D.
bearerReligion
Indicates that a bearer (such as a person or entity) adheres to, practices, or is associated with a particular religion.
-
E.
religiousFoundation
chosen
Indicates that an entity was established, created, or founded by a religious organization, authority, or tradition.
- 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62266b8b48190a050b4953753e5a7 |
completed | May 2, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 7:15 a.m.