Triple
T18837813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023 Madhya Pradesh Legislative Assembly election |
E460709
|
entity |
| Predicate | seatsForMajority |
P102637
|
FINISHED |
| Object | 116 |
—
|
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: 116 | Statement: [2023 Madhya Pradesh Legislative Assembly election, seatsForMajority, 116]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatsForMajority Context triple: [2023 Madhya Pradesh Legislative Assembly election, seatsForMajority, 116]
-
A.
majoritySeats
Indicates that one party or group holds more than half of the available seats in a governing or decision-making body.
-
B.
majoritySeatsThreshold
chosen
Indicates the minimum number of seats required for a party or coalition to hold a majority in a representative body.
-
C.
majoritySeatsCongress
Indicates that a political party or group holds more than half of the seats in a country's congress or legislative body.
-
D.
hasMajorityOf
Indicates that one entity possesses or controls more than half of the total quantity, members, or share of another entity.
-
E.
numberOfReservedMinoritySeats
Indicates the specific count of seats that are set aside or reserved for members of designated minority groups within a given body or context.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99f443881909516a82208fd0178 |
completed | April 20, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d1e7dac81909ea1e758c87773c5 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:56 a.m.