Triple
T23918491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peace of God movement |
E602144
|
entity |
| Predicate | appliedSanctionsTo |
P154360
|
FINISHED |
| Object | warfare |
—
|
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: warfare | Statement: [Peace of God movement, appliedSanctionsTo, warfare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedSanctionsTo Context triple: [Peace of God movement, appliedSanctionsTo, warfare]
-
A.
relatedSanctions
Indicates that there is an association between an entity and one or more sanctions, such as penalties, restrictions, or punitive measures applied in connection with that entity.
-
B.
imposesSanctionsOn
Indicates that one entity enforces punitive or restrictive measures against another entity, typically to influence or penalize its behavior.
-
C.
coSanctions
Indicates that two or more entities jointly impose or support the same sanction or set of sanctions on a target.
-
D.
countrySubjectToSanctions
Indicates that a country is currently facing formal sanctions or restrictive measures imposed by another state or international body.
-
E.
sanctionsTarget
Indicates that an entity imposes sanctions or punitive measures against another entity as its target.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf1600248190b38cfc93afb22a73 |
completed | April 29, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:41 p.m.