Triple
T25461869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calcutta South |
E638068
|
entity |
| Predicate | languageUsedInCampaigning |
P11589
|
FINISHED |
| Object | Bengali |
—
|
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: Bengali | Statement: [Calcutta South, languageUsedInCampaigning, Bengali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageUsedInCampaigning Context triple: [Calcutta South, languageUsedInCampaigning, Bengali]
-
A.
languageOfCampaigning
chosen
Indicates the language used to conduct or communicate a campaign (e.g., political, marketing, or advocacy efforts).
-
B.
electoralSlogan
Indicates that a phrase is used as a campaign message or motto to promote a candidate, party, or political cause in an election.
-
C.
politicalCamp
Indicates that two entities are aligned with, belong to, or are associated with the same political group, faction, or ideological camp.
-
D.
usedPoliticalStrategy
Indicates that one entity employed a particular political strategy or tactic in relation to another entity or context.
-
E.
usedInPoliticalDiscourse
Indicates that something is employed as a term, concept, or reference within political discussion, debate, or rhetoric.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 21, 2026, 2:12 p.m.