Triple
T3486234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Assembly of Nepal |
E73611
|
entity |
| Predicate | seatsReservedForDalits |
P46006
|
FINISHED |
| Object | 1 from each province |
—
|
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: 1 from each province | Statement: [National Assembly of Nepal, seatsReservedForDalits, 1 from each province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatsReservedForDalits Context triple: [National Assembly of Nepal, seatsReservedForDalits, 1 from each province]
-
A.
seatsForScheduledCastes
chosen
Indicates that a certain number or portion of seats are reserved specifically for individuals belonging to Scheduled Castes.
-
B.
hasReservedSeats
Indicates that specific seats have been set aside or allocated in advance for a particular entity or purpose.
-
C.
seatsAllocatedBy
Indicates that seats are assigned or distributed by a particular agent, authority, or mechanism.
-
D.
LokSabhaSeats
Indicates the number of seats a political party or entity holds or is allocated in the Lok Sabha (the lower house of India’s Parliament).
-
E.
RajyaSabhaSeats
Indicates the number of seats allocated or held in the Rajya Sabha (the upper house of the Indian Parliament) within a given political or administrative 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb9059f881908f9cbe544365c8df |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0935ac8190bfa8a8bd3dcd3301 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.