Triple
T23401239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumiyah |
E559508
|
entity |
| Predicate | incites |
P138161
|
FINISHED |
| Object | violence against civilians |
—
|
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: violence against civilians | Statement: [Rumiyah, incites, violence against civilians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incites Context triple: [Rumiyah, incites, violence against civilians]
-
A.
instigates
chosen
Indicates that one entity initiates, provokes, or sets in motion an action, event, or response in another.
-
B.
inhibits
Indicates that one entity prevents, restrains, or reduces the activity, effect, or occurrence of another entity.
-
C.
excites
Indicates that one entity causes another entity to become excited, stimulated, or activated, typically by increasing its energy or arousal level.
-
D.
encourages
Indicates actively motivating, supporting, or giving confidence to another entity to pursue an action, behavior, or state.
-
E.
discourages
Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dfa4c881908df0eced4855c0d9 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:37 p.m.