Triple
T27751553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gandaki Provincial Assembly |
E701224
|
entity |
| Predicate | secondElectionYear |
P186357
|
FINISHED |
| Object | 2022 |
—
|
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: 2022 | Statement: [Gandaki Provincial Assembly, secondElectionYear, 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondElectionYear Context triple: [Gandaki Provincial Assembly, secondElectionYear, 2022]
-
A.
reElectionYear
Indicates the year in which an entity is (or is scheduled to be) elected again to the same position or office.
-
B.
nextElectionYear
Indicates the calendar year in which the subsequent scheduled election for the referenced office, jurisdiction, or entity is to take place.
-
C.
isSecondDemocraticNationalElection
Indicates that the referenced election is the second occurrence of a national election held under a democratic system in a given context.
-
D.
previousElectionYear
Indicates the year in which the immediately preceding election for the same office, position, or body took place.
-
E.
wasSecondPresidentialElection
Indicates that an event was the second presidential election held within a given political system or jurisdiction.
- 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_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7cec398ac819081c954a993c323ee |
completed | May 3, 2026, 10:40 p.m. |
Created at: April 27, 2026, 4:20 p.m.