Triple
T15026678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electorate of Katherine |
E378233
|
entity |
| Predicate | creationEvent |
P38224
|
FINISHED |
| Object | 1987 Northern Territory redistribution |
—
|
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: 1987 Northern Territory redistribution | Statement: [Electorate of Katherine, creationEvent, 1987 Northern Territory redistribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creationEvent Context triple: [Electorate of Katherine, creationEvent, 1987 Northern Territory redistribution]
-
A.
createdAfterEvent
Indicates that the creation of one entity occurred after a specified event in time.
-
B.
creationType
Indicates the manner or process by which something was brought into existence or produced.
-
C.
createdAtEvent
chosen
Indicates the specific event during which the entity was originally created.
-
D.
crea
Indicates that one entity creates, produces, or brings into existence another entity.
-
E.
formationEvent
Indicates the event or process through which something comes into existence, is created, or is initially established.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:58 a.m.