Triple
T1105985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anandamath |
E25487
|
entity |
| Predicate | hasPoliticalImpact |
P1784
|
FINISHED |
| Object | served as a rallying text for Indian nationalism |
—
|
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: served as a rallying text for Indian nationalism | Statement: [Anandamath, hasPoliticalImpact, served as a rallying text for Indian nationalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalImpact Context triple: [Anandamath, hasPoliticalImpact, served as a rallying text for Indian nationalism]
-
A.
politicalInfluenceIn
Indicates that an entity exerts or holds political influence within a specified place, jurisdiction, or political context.
-
B.
hasPoliticalCharacteristic
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
C.
politicalRepercussion
chosen
Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
-
D.
politicalInfluencePeak
Indicates the time or context in which an entity’s political influence reaches its highest level or greatest impact.
-
E.
legislativeImpact
Indicates the effect that a law or legislative action has on a policy, entity, or outcome.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e339f88190afc027216e95d2f7 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b74877748190b78cd8847ee4fa7a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.