Triple
T26220107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flinders |
E655741
|
entity |
| Predicate | hasElectorCount |
P161266
|
FINISHED |
| Object | over 100000 electors (approximate) |
—
|
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: over 100000 electors (approximate) | Statement: [Flinders, hasElectorCount, over 100000 electors (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectorCount Context triple: [Flinders, hasElectorCount, over 100000 electors (approximate)]
-
A.
hasElectors
Indicates that an entity is associated with one or more electors who have the authority to vote or make a selection on its behalf.
-
B.
hasElectorate
Indicates that a political representative, office, or governing body is associated with and serves a specific group of voters or electoral district.
-
C.
hasElectorsFrom
Indicates that an entity possesses or is associated with electors originating from a specified source or group.
-
D.
hasElectionFraction
Indicates that a specified portion or fraction of the total vote or electorate is associated with a particular election-related entity or outcome.
-
E.
hasElectedMembers
Indicates that an entity possesses members who have attained their positions through an election process.
- 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 26, 2026, 8:55 p.m.