Triple
T1197961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electoral College of India |
E25710
|
entity |
| Predicate | voteWeightDependsOn |
P13230
|
FINISHED |
| Object | population of the state or union territory |
—
|
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: population of the state or union territory | Statement: [Electoral College of India, voteWeightDependsOn, population of the state or union territory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voteWeightDependsOn Context triple: [Electoral College of India, voteWeightDependsOn, population of the state or union territory]
-
A.
votingBasis
chosen
Indicates the principle, criterion, or grounds on which a vote or voting decision is made.
-
B.
voteRequirement
Indicates the minimum level or type of vote needed for a decision, action, or status to be valid or approved.
-
C.
sectorWeighting
Indicates the proportion or emphasis assigned to a particular sector within a broader portfolio, index, or classification.
-
D.
voteFor
Indicates that one entity casts or expresses a vote in favor of another entity or option.
-
E.
voteSplit
Indicates that a voting outcome is divided among multiple options or parties rather than being unanimous or clearly majority.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9c013c8190822d44d465d60fdb |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5d40a08190b7682d8ef8075421 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.