Triple
T14337754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSC |
E355507
|
entity |
| Predicate | typeOfMembershipMarker |
P52477
|
FINISHED |
| Object | religious institute membership |
—
|
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: religious institute membership | Statement: [CSC, typeOfMembershipMarker, religious institute membership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMembershipMarker Context triple: [CSC, typeOfMembershipMarker, religious institute membership]
-
A.
typeOfMembershipBody
chosen
Indicates the specific kind or category of membership that an entity holds within a body or organization.
-
B.
clubMembershipType
Indicates the specific category or level of membership that an entity holds within a club.
-
C.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
D.
hasMembershipBy
Indicates that an entity holds or acquires membership in a group, organization, or program by means of a specified agent, process, or instrument.
-
E.
hasMembershipBase
Indicates that an entity possesses or is associated with a foundational group or set of members that form its membership base.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c2241e48190a0c626b3d741966a |
completed | April 14, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69de2a9958e881909d03ac03f135163e |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:14 a.m.