Triple
T3687937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kheda district |
E78270
|
entity |
| Predicate | movementTypeAssociated |
P23273
|
FINISHED |
| Object | nonviolent resistance |
—
|
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: nonviolent resistance | Statement: [Kheda district, movementTypeAssociated, nonviolent resistance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementTypeAssociated Context triple: [Kheda district, movementTypeAssociated, nonviolent resistance]
-
A.
movementType
Indicates the manner or mode in which an entity moves or is moved from one place or state to another.
-
B.
associatedWithMovement
Indicates a relationship where an entity is connected to, involved in, or influenced by a particular movement (e.g., social, political, artistic, or ideological).
-
C.
hasMovementType
chosen
Indicates the type or mode of movement associated with an entity, such as how it moves or is transported.
-
D.
movementCharacteristic
Indicates how an entity moves or behaves in motion, such as its style, pattern, or quality of movement.
-
E.
movementDepicted
Indicates that some form of motion or change in position is visually represented or illustrated.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c960788190b73ede08658846aa |
completed | March 8, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.