Triple
T533370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Non-Cooperation Movement |
E12272
|
entity |
| Predicate | involvedCommunityParticipation |
P4470
|
FINISHED |
| Object | peasants |
—
|
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: peasants | Statement: [Non-Cooperation Movement, involvedCommunityParticipation, peasants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedCommunityParticipation Context triple: [Non-Cooperation Movement, involvedCommunityParticipation, peasants]
-
A.
participation
chosen
Indicates that an entity takes part in, contributes to, or is involved in a shared activity, event, or process with others.
-
B.
communalAspect
Indicates that something involves or emphasizes shared participation, ownership, or experience within a group or community.
-
C.
includesCommunity
Indicates that one entity encompasses, contains, or has within it a particular community as part of its scope or composition.
-
D.
community
Indicates a relationship where individuals or groups are connected by shared location, interests, or identity, forming a collective social unit.
-
E.
roleInCommunity
Indicates the function, position, or set of responsibilities an entity holds within a particular community or group.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b3e49081909810fa417b31306f |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.