Triple
T28488616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Division of Wannon |
E720899
|
entity |
| Predicate | federalElectorateNumberOfMembersReturned |
P48443
|
FINISHED |
| Object | 1 |
—
|
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 | Statement: [Division of Wannon, federalElectorateNumberOfMembersReturned, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: federalElectorateNumberOfMembersReturned Context triple: [Division of Wannon, federalElectorateNumberOfMembersReturned, 1]
-
A.
numberOfElectorates
Indicates the total count of electoral districts or constituencies associated with a given entity.
-
B.
electorateNumber
Indicates the numerical identifier assigned to a specific electorate or voting district within an electoral system.
-
C.
numberOfElectedMembers
Indicates the total count of individuals who have been formally chosen through an election to serve as members of a given body or group.
-
D.
electorateApprox
Indicates an approximate or estimated size or value of an electorate associated with an entity.
-
E.
numberOfFPTPSeats
chosen
Indicates the number of seats obtained or allocated through a first-past-the-post (FPTP) electoral system.
- 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_69f01a5a47148190b0a7e111bc432e0a |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 3 a.m.