Triple
T14344924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moruya Airport |
E355689
|
entity |
| Predicate | nearbyBodyOfWater |
P1489
|
FINISHED |
| Object | Moruya River |
—
|
NE NERFINISHED |
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: Moruya River | Statement: [Moruya Airport, nearbyBodyOfWater, Moruya River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moruya River Context triple: [Moruya Airport, nearbyBodyOfWater, Moruya River]
-
A.
Moruya River
chosen
Moruya River is a coastal river in New South Wales, Australia, that flows through the town of Moruya before reaching the Tasman Sea.
-
B.
Taiya River
The Taiya River is a glacially fed river in Southeast Alaska that flows through the historic Klondike Gold Rush region near Skagway before emptying into the Taiya Inlet.
-
C.
Misasa River
Misasa River is a Japanese river known as a tributary of the Ōta River in Hiroshima Prefecture.
-
D.
Segama River
The Segama River is one of the longest and most significant rivers in the Malaysian state of Sabah, known for flowing through rich rainforest and wildlife habitats in eastern Borneo.
-
E.
Mayu River
The Mayu River is a river in western Myanmar’s Rakhine State that flows into the Bay of Bengal near the coastal city of Sittwe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e89ed9c8190acdb647ee618e919 |
completed | April 14, 2026, 6:59 p.m. |
Created at: April 10, 2026, 1:14 a.m.