Triple
T23881961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Join the Caravan |
E600225
|
entity |
| Predicate | statusInMilitantCircles |
P153927
|
FINISHED |
| Object | canonical text |
—
|
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: canonical text | Statement: [Join the Caravan, statusInMilitantCircles, canonical text]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInMilitantCircles Context triple: [Join the Caravan, statusInMilitantCircles, canonical text]
-
A.
typeOfMilitancy
Indicates the specific form or category of militant activity or behavior associated with an entity.
-
B.
controversialStatus
Indicates that the subject is associated with debate, dispute, or disagreement regarding its acceptance, validity, or appropriateness.
-
C.
statusInCommunity
Indicates the social standing, role, or level of acceptance an entity holds within a particular community.
-
D.
radicalizedIn
Indicates that an entity became radicalized or adopted extreme views within a specified place, context, or environment.
-
E.
factionStatus
Indicates the current state or condition of a faction in relation to a particular context, system, or other entities.
- 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cc05e4d48190864fc47bdffa4ca9 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:24 p.m.