Triple
T7310780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gol Gol |
E168084
|
entity |
| Predicate | federalDivision |
P1566
|
FINISHED |
| Object | Farrer |
E119973
|
NE 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: Farrer | Statement: [Gol Gol, federalDivision, Farrer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farrer Context triple: [Gol Gol, federalDivision, 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.
Farguson
Farguson is an alternative spelling of the surname Ferguson, which is of Scottish origin.
-
C.
Pagford
Pagford is the fictional English village that serves as the primary setting of J.K. Rowling’s novel "The Casual Vacancy," characterized by its seemingly idyllic facade and underlying social tensions.
-
D.
Fenner
Fenner is an Australian federal electoral division in the Australian Capital Territory, represented in the House of Representatives.
-
E.
Farris
Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebff866081909916796d1b72aee8 |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e56b4178819087341903a168440b |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3:02 p.m.