Triple
T3897241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Armed Forces |
E90399
|
entity |
| Predicate | allowsConscientiousObjection |
P52739
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Swiss Armed Forces, allowsConscientiousObjection, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsConscientiousObjection Context triple: [Swiss Armed Forces, allowsConscientiousObjection, yes]
-
A.
allowedOrdinationOf
Indicates that one entity permits or authorizes the formal religious ordination of another entity.
-
B.
allowsRegulationOf
Indicates that one entity grants the authority, means, or conditions for another entity to control, manage, or govern something.
-
C.
allowsDivorcedRemarriedCommunion
Indicates that an authority or practice permits individuals who are divorced and remarried to receive communion.
-
D.
religiousRestriction
Indicates that one entity imposes, experiences, or is subject to limitations or rules based on religious beliefs or practices in relation to another entity or context.
-
E.
deniesSacramentalStatusOf
Indicates that one entity asserts another entity does not possess a particular sacramental status or validity.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef1aada308190821a3dfa6af170b3 |
completed | March 9, 2026, 4:13 p.m. |
Created at: March 9, 2026, 3:21 p.m.