Triple
T27751549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gandaki Provincial Assembly |
E701224
|
entity |
| Predicate | hasNumberOfPRSeats |
P184360
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [Gandaki Provincial Assembly, hasNumberOfPRSeats, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfPRSeats Context triple: [Gandaki Provincial Assembly, hasNumberOfPRSeats, 24]
-
A.
regionForPRSeats
Indicates the geographic or administrative region associated with a set of proportional representation (PR) seats.
-
B.
hasNumberOfMPs
Indicates the relationship that specifies how many members of parliament (MPs) are associated with a given entity.
-
C.
hasLowerHouseSeats
Indicates the number of seats an entity holds in the lower house of a bicameral legislature.
-
D.
hasNumberOfDeputies
Indicates the specific count of deputies associated with or assigned to an entity.
-
E.
hasLegislativeChamberSeats
Indicates that a legislative chamber holds or is allocated a specified number of seats.
- F. None of above. chosen
Provenance (4 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 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. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: April 27, 2026, 4:20 p.m.