Triple
T20909670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christadelphians |
E514904
|
entity |
| Predicate | pacifism |
P129039
|
FINISHED |
| Object | conscientious objection to military service |
—
|
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: conscientious objection to military service | Statement: [Christadelphians, pacifism, conscientious objection to military service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pacifism Context triple: [Christadelphians, pacifism, conscientious objection to military service]
-
A.
peaceContext
Indicates that the relationship or action occurs within, contributes to, or is characterized by a situation of peace, non-violence, or conflict resolution.
-
B.
peaceTerms
Indicates the conditions or agreements proposed or accepted by parties to establish or maintain peace after or during a conflict.
-
C.
stanceOnMilitarism
chosen
Indicates an entity’s position, attitude, or viewpoint regarding the use, expansion, or role of military force and institutions.
-
D.
peacePolicy
Indicates a policy or set of measures aimed at promoting, maintaining, or restoring peaceful relations between parties.
-
E.
maintainedPeaceWith
Indicates that two entities sustained a state of peace or non-conflict with each other over a period of time.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec5d73c88190a48180a1eed88190 |
completed | April 21, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:48 p.m.