Triple
T3260842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karnataka Legislative Assembly |
E68404
|
entity |
| Predicate | numberOfHousesInLegislature |
P24196
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Karnataka Legislative Assembly, numberOfHousesInLegislature, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHousesInLegislature Context triple: [Karnataka Legislative Assembly, numberOfHousesInLegislature, 2]
-
A.
numberOfHousesInParliament
Indicates the count of distinct legislative chambers that make up a country's parliament.
-
B.
totalNumberOfLegislators
Indicates the total count of legislators associated with a given political body, jurisdiction, or legislative session.
-
C.
numberOfLegislativeChambers
chosen
Indicates the quantity of distinct legislative chambers that a given political or legislative body possesses.
-
D.
numberOfRepresentatives
Indicates the quantity of representatives associated with a given entity or unit.
-
E.
numberOfSenates
Indicates the total count of senate bodies associated with or present in a given context or entity.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafa7fea08190b089b6174fd7cd32 |
completed | March 8, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69ada41ae74081909a0d1d696be8e35e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.