Triple
T4515185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian pacifism |
E102136
|
entity |
| Predicate | viewOnMilitaryService |
P57126
|
FINISHED |
| Object | Christians should not participate in war |
—
|
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: Christians should not participate in war | Statement: [Christian pacifism, viewOnMilitaryService, Christians should not participate in war]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnMilitaryService Context triple: [Christian pacifism, viewOnMilitaryService, Christians should not participate in war]
-
A.
viewsMilitaryAs
Indicates that one entity holds a particular perception, attitude, or evaluative stance toward the military as an institution or concept.
-
B.
militaryStatus
Indicates the relationship between an entity and a military organization in terms of service condition, such as active duty, reserve, veteran, or non-military status.
-
C.
placeOfMilitaryService
Indicates the location or institution where a person performed their military service.
-
D.
yearsOfMilitaryService
Indicates the number of years an entity has served or is recorded as serving in the military.
-
E.
militaryServicePeriod
Indicates the span of time during which an entity serves or has served in a military capacity.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5725745c81908bb462ba9537ae14 |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd521abea48190b3e758a1f98dd55e |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b3e4c88190a7ade3d0ed0ab606 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:02 p.m.