Triple
T14337715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C.S.C. |
E355506
|
entity |
| Predicate | postNominalType |
P16520
|
FINISHED |
| Object | religious order initials |
—
|
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 order initials | Statement: [C.S.C., postNominalType, religious order initials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postNominalType Context triple: [C.S.C., postNominalType, religious order initials]
-
A.
postNominalCategory
chosen
Indicates a classification or type assigned to an entity that is expressed in a post-nominal position (after the name or noun).
-
B.
postNominalLetters
Indicates that a person is associated with specific letters placed after their name to denote qualifications, honors, or professional affiliations.
-
C.
hasPostNominal
Indicates that an entity is associated with a post-nominal title, abbreviation, or letters that follow a name to denote qualifications, honors, or status.
-
D.
nonPostNominal
Indicates that the related element does not appear in a post-nominal position (i.e., it does not follow the noun it modifies or relates to).
-
E.
postalServiceDesignation
Indicates the official classification or label assigned to an entity by a postal service for mail handling, routing, or addressing purposes.
- 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.