Triple
T26305984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shabwah Governorate |
E661681
|
entity |
| Predicate | hasMilitantActivity |
P113370
|
FINISHED |
| Object | various armed groups |
—
|
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: various armed groups | Statement: [Shabwah Governorate, hasMilitantActivity, various armed groups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMilitantActivity Context triple: [Shabwah Governorate, hasMilitantActivity, various armed groups]
-
A.
hasInsurgentGroupActivity
chosen
Indicates that insurgent groups are actively operating or conducting activities in relation to the referenced entity or context.
-
B.
hasProtestMovement
Indicates that an entity is associated with, or gives rise to, an organized protest movement opposing or advocating change related to it.
-
C.
typeOfMilitancy
Indicates the specific form or category of militant activity or behavior associated with an entity.
-
D.
hasPoliticalActivityIn
Indicates that an entity engages in or is associated with political activities within a specified location or jurisdiction.
-
E.
statusInMilitantCircles
Indicates the level of recognition, influence, or standing an individual holds within militant or extremist groups.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 26, 2026, 10:18 p.m.