Triple
T18903341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian federal electoral divisions |
E462391
|
entity |
| Predicate | numberOfMembersPerDivision |
P31691
|
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: [Australian federal electoral divisions, numberOfMembersPerDivision, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMembersPerDivision Context triple: [Australian federal electoral divisions, numberOfMembersPerDivision, 1]
-
A.
divisionTitleCount
Indicates the number of titles or championships associated with a particular division.
-
B.
numberOfDivisionITeams
Indicates the count of IT teams within a given division.
-
C.
numberOfDistrictMembers
Indicates the relationship that specifies how many members are associated with a given district.
-
D.
numberOfMembersDeterminedBy
Indicates that the quantity of members in one entity is defined or constrained by another entity or factor.
-
E.
numberOfGroupMembers
chosen
Indicates the total count of individual members that belong to a specified group.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52b07c08190be0db22826462ae3 |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.