Triple
T448194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New South Wales Legislative Assembly |
E7066
|
entity |
| Predicate | seatsForGovernmentFormation |
P11035
|
FINISHED |
| Object | majority of 47 seats |
—
|
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: majority of 47 seats | Statement: [New South Wales Legislative Assembly, seatsForGovernmentFormation, majority of 47 seats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatsForGovernmentFormation Context triple: [New South Wales Legislative Assembly, seatsForGovernmentFormation, majority of 47 seats]
-
A.
legislativeAssemblySeats
chosen
Indicates the number of seats an entity holds or is allocated in a legislative assembly.
-
B.
votingSystemLokSabha
Indicates the type or method of voting system used for elections to the Lok Sabha.
-
C.
electoralBody
Indicates that an entity functions as an official body responsible for overseeing, administering, or making decisions related to elections for another entity.
-
D.
seatsWonIn2019ParliamentaryElection
Indicates the number of seats an entity secured in the 2019 parliamentary election.
-
E.
hasNumberOfCouncillors
Indicates the relationship that specifies how many councillors are associated with a given 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef6429e881908aa758da64299a16 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2ede1a1108190a4a06b3416ae6156 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.