Triple
T6845232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macquarie River (New South Wales) |
E157877
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Narromine |
E378218
|
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: Narromine | Statement: [Macquarie River (New South Wales), flowsThrough, Narromine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narromine Context triple: [Macquarie River (New South Wales), flowsThrough, Narromine]
-
A.
Narromine
chosen
Narromine is a rural town in western New South Wales, Australia, known for its agricultural production and aviation history.
-
B.
Narooma
Narooma is a coastal town in New South Wales, Australia, known for its scenic beaches, fishing, and proximity to Montague Island.
-
C.
Benalla
Benalla is a regional town in northeastern Victoria, Australia, known for its art, lake, and role as a service centre along major transport routes.
-
D.
Mudgee
Mudgee is a historic town in New South Wales, Australia, renowned for its cool-climate wineries, heritage architecture, and vibrant food and wine tourism.
-
E.
Boorowa
Boorowa is a rural town in New South Wales, Australia, known for its rich agricultural surroundings and heritage streetscapes.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ca96008190ba79563c2a9a9b0e |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fc42e688190baa8413883e5506c |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:19 p.m.