Triple
T2842087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murrumbidgee catchment |
E62491
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Tumut |
E71309
|
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 | Statement: [Murrumbidgee catchment, containsCity, Tumut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumut Context triple: [Murrumbidgee catchment, containsCity, Tumut]
-
A.
Tumut
chosen
Tumut is a historic town in the Snowy Mountains region of New South Wales, Australia, known for its timber industry, scenic river landscapes, and role as a gateway to the Snowy Mountains Scheme.
-
B.
Kiliwa
Kiliwa is an indigenous people of northern Baja California, Mexico, known for their distinct Yuman language and traditional hunter-gatherer culture.
-
C.
Nyokum
Nyokum is a major agricultural and religious festival of the Nyishi tribe in Arunachal Pradesh, India, celebrated to invoke prosperity, harmony, and good harvest.
-
D.
Mujuretuli
Mujuretuli is a traditional Georgian grape variety from the Racha-Lechkhumi and Kvemo Svaneti region, known for producing distinctive, high-quality red wines.
-
E.
Yenda
Yenda is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural production, particularly viticulture and horticulture.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1898748190b031a2bd2091c0c0 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8d22e588190b119e7d9f9c3873a |
completed | March 10, 2026, 9:48 a.m. |
Created at: March 6, 2026, 10:01 p.m.