Triple
T22277646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urunga railway station |
E550647
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kalang 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: Kalang River | Statement: [Urunga railway station, locatedNear, Kalang River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalang River Context triple: [Urunga railway station, locatedNear, Kalang River]
-
A.
Kalang River
chosen
The Kalang River is a coastal river in New South Wales, Australia, that flows through the Bellingen region before meeting the Pacific Ocean near the town of Urunga.
-
B.
Katete River
The Katete River is a lesser-known tributary waterway that feeds into the larger Stikine River system in northwestern North America.
-
C.
Pandai River
The Pandai River is a significant watercourse flowing through the Valmiki Tiger Reserve in Bihar, India, supporting its rich forest and wildlife ecosystems.
-
D.
Banjar River
The Banjar River is a significant tributary in central India that feeds into the Narmada River system.
-
E.
Citumang River
Citumang River is a popular natural attraction in Pangandaran, Indonesia, known for its clear turquoise water, river tubing, and scenic forested surroundings.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea8a6688190bcd168670420ec59 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.