Triple
T3386285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumut |
E71309
|
entity |
| Predicate | watercourse |
P415
|
FINISHED |
| Object | Tumut River |
E97163
|
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: Tumut River | Statement: [Tumut, watercourse, Tumut River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumut River Context triple: [Tumut, watercourse, Tumut River]
-
A.
Tumut River
chosen
The Tumut River is a significant river in New South Wales, Australia, known for its role in the Snowy Mountains Scheme and its contribution to regional irrigation and hydroelectric power.
-
B.
Nyamiha River
The Nyamiha River is a small, historically significant waterway in Minsk, Belarus, now largely confined to underground culverts beneath the city.
-
C.
Manyame River
The Manyame River is a major river in northern Zimbabwe that flows near the capital city of Harare and feeds into Lake Manyame, an important water source for the region.
-
D.
Turakina River
Turakina River is a river in New Zealand’s North Island that flows through the Manawatū-Whanganui region to the South Taranaki Bight.
-
E.
Lumezi River
The Lumezi River is a tributary watercourse in eastern Zambia that feeds into the larger Luangwa River system.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb662d190819085b211dac85a83b2 |
completed | March 8, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfce95558c8190b310e00bd494a81a |
completed | March 22, 2026, 11:12 a.m. |
Created at: March 8, 2026, 3:14 p.m.