Triple
T11715144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kensington, New South Wales |
E278476
|
entity |
| Predicate | adjacentSuburb |
P37779
|
FINISHED |
| Object | Daceyville |
E867483
|
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: Daceyville | Statement: [Kensington, New South Wales, adjacentSuburb, Daceyville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daceyville Context triple: [Kensington, New South Wales, adjacentSuburb, Daceyville]
-
A.
Daceyville
chosen
Daceyville is a small residential suburb in Sydney, Australia, known as one of the country’s earliest public housing garden suburbs.
-
B.
Wallaceville
Wallaceville is a residential suburb located within the Hutt Valley region near Wellington, New Zealand.
-
C.
Snowville
Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
-
D.
Tierceville
Tierceville is a small commune in the Calvados department of the Normandy region in northwestern France.
-
E.
Lantzville
Lantzville is a small coastal community and district municipality on central Vancouver Island in British Columbia, Canada, known for its residential character and seaside setting.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4bf54d88190a8e07fbbf8d9e962 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8397a4ac8190a71dfdd53bfa168a |
completed | April 27, 2026, 3:41 p.m. |
Created at: April 8, 2026, 9:40 p.m.