Triple
T20437290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parkview |
E501283
|
entity |
| Predicate | hasFederalDivision |
P1566
|
FINISHED |
| Object | Farrer |
—
|
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: Farrer | Statement: [Parkview, hasFederalDivision, Farrer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farrer Context triple: [Parkview, hasFederalDivision, Farrer]
-
A.
Farrer
chosen
Farrer is an Australian federal electoral division in New South Wales, encompassing large rural and regional areas in the state’s southwest.
-
B.
Farrar
Farrar is a surname most notably associated with American musician and songwriter Jay Farrar, co-founder of the influential alternative country band Uncle Tupelo.
-
C.
Farr
Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
-
D.
Farguson
Farguson is an alternative spelling of the surname Ferguson, which is of Scottish origin.
-
E.
Gayford
Gayford is a surname most notably associated with New Zealand broadcaster Clarke Gayford, partner of former Prime Minister Jacinda Ardern.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f042988190948253a3d2ee4e9e |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.