Triple
T15011780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matong |
E377854
|
entity |
| Predicate | hasNearbyTown |
P3883
|
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: [Matong, hasNearbyTown, Ganmain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ganmain Context triple: [Matong, hasNearbyTown, 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.
Gambanyi
Gambanyi is an alternative name for Pearl Gibbs, a prominent 20th-century Aboriginal Australian activist and leader in the struggle for Indigenous rights.
-
D.
Gedinne
Gedinne is a rural municipality in the Ardennes region of southern Belgium, known for its forests, outdoor recreation, and location near the French border.
-
E.
Garnwerd
Garnwerd is a small historic village in the Dutch province of Groningen, known for its picturesque setting along the Reitdiep river and traditional architecture.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7613cec8190ac25e3f68c5d0edf |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dce8240819097efddb43b79ad4b |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:55 a.m.