Triple
T6516674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herz Jesu Priesterseminar |
E148280
|
entity |
| Predicate | clericalStatusOfGraduates |
P71331
|
FINISHED |
| Object | Catholic priests |
—
|
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: Catholic priests | Statement: [Herz Jesu Priesterseminar, clericalStatusOfGraduates, Catholic priests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clericalStatusOfGraduates Context triple: [Herz Jesu Priesterseminar, clericalStatusOfGraduates, Catholic priests]
-
A.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
B.
hasRankUponGraduation
Indicates that an entity is assigned a specific rank or standing at the time of its graduation.
-
C.
degreeGrantingStatus
Indicates whether an institution or program has the authority to confer formal academic degrees.
-
D.
successfulGraduatesReceive
Indicates that individuals who successfully graduate are given or obtain something, such as a degree, certification, or benefit, as a result of their graduation.
-
E.
serviceBranchOfGraduates
Indicates the military or service branch in which the graduates served or are affiliated.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0ece2081909c14accef90efd7c |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:44 p.m.