Triple
T15026133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narromine |
E378218
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Trangie |
E365243
|
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: Trangie | Statement: [Narromine, nearbyTown, Trangie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trangie Context triple: [Narromine, nearbyTown, Trangie]
-
A.
Trangie
chosen
Trangie is a small rural town in New South Wales, Australia, situated in the Orana region west of Dubbo.
-
B.
Tooronga
Tooronga is a suburb in Melbourne, Victoria, Australia, known for its residential character and proximity to major shopping and transport hubs.
-
C.
Littledale
Littledale is a small rural settlement in Lancashire, England, situated within the civil parish of Caton-with-Littledale.
-
D.
Moama
Moama is a historic river town in New South Wales, Australia, located opposite Echuca on the Murray River and known for tourism, river-based recreation, and its role in the region’s agricultural economy.
-
E.
Gilgandra
Gilgandra is a rural town in New South Wales, Australia, known as a service and agricultural centre on the western plains.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd746008190a7347368ee6d20cf |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:58 a.m.