Triple
T35576178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kishanganj Lok Sabha constituency |
E1028079
|
entity |
| Predicate | hasVoterDemographics |
P38956
|
FINISHED |
| Object | high proportion of Muslim voters |
—
|
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: high proportion of Muslim voters | Statement: [Kishanganj Lok Sabha constituency, hasVoterDemographics, high proportion of Muslim voters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVoterDemographics Context triple: [Kishanganj Lok Sabha constituency, hasVoterDemographics, high proportion of Muslim voters]
-
A.
hasDemographic
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
B.
hasVotingAgePopulation
Indicates that an entity has a specified number or set of people who are of legal voting age within its population.
-
C.
demographicsDataAvailable
Indicates that demographic information about a population or group is present, accessible, and ready for use or analysis.
-
D.
hasVoterParticipation
Indicates that there is a relationship where an entity participates as a voter in an election or voting process.
-
E.
hasTypeOfVoters
chosen
Indicates that an entity is associated with or characterized by a particular category or kind of voters.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:04 p.m.