Triple
T36007648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Darebin |
E1041314
|
entity |
| Predicate | electoralRegionState |
P90283
|
FINISHED |
| Object | Northern Metropolitan Region |
—
|
NE NERFINISHED |
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: Northern Metropolitan Region | Statement: [City of Darebin, electoralRegionState, Northern Metropolitan Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralRegionState Context triple: [City of Darebin, electoralRegionState, Northern Metropolitan Region]
-
A.
stateElectoralRegion
Indicates the electoral district or region within a state that an entity is associated with for voting or representation purposes.
-
B.
electorateState
Indicates the state or region in which a given electorate (voting district or constituency) is located or to which it belongs.
-
C.
eachStateAndRegionElects
Indicates that every state and region is responsible for choosing or voting for a particular representative, body, or position.
-
D.
stateOrRegion
Indicates that one entity is a state or region in which the other entity is located or with which it is associated.
-
E.
regionOfState
chosen
Indicates that one administrative or geographical region is a subdivision or part of a larger state.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff691f5ae481908597ce245188d31c |
completed | May 9, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69ff67ceeeb081909fd00cad166c4b6a |
completed | May 9, 2026, 4:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.