Triple
T3663119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coolamon Shire |
E77696
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Ganmain |
E71055
|
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: Ganmain | Statement: [Coolamon Shire, hasTown, Ganmain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ganmain Context triple: [Coolamon Shire, hasTown, Ganmain]
-
A.
Ganmain
chosen
Ganmain is a small rural town in the Riverina region of New South Wales, Australia, known for its wheat farming and annual agricultural show.
-
B.
Goytre
Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
-
C.
Maina
Maina is an alternative name for the Achuar-Shiwiar language, an indigenous language spoken by the Achuar and Shiwiar peoples of the Amazon region.
-
D.
Gauda
Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
-
E.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3fcd910819082012b10b23860aa |
completed | March 8, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48846af9881909d71d63b8bd8d141 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.