Triple
T13230573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kagawong Lake |
E315005
|
entity |
| Predicate | hasOutflow |
P967
|
FINISHED |
| Object | Kagawong 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: Kagawong River | Statement: [Kagawong Lake, hasOutflow, Kagawong River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kagawong River Context triple: [Kagawong Lake, hasOutflow, Kagawong River]
-
A.
Kagawong River
chosen
The Kagawong River is a scenic waterway on Manitoulin Island in Ontario, Canada, known for flowing from Lake Kagawong to the North Channel and featuring the popular Bridal Veil Falls.
-
B.
Diduyon River
The Diduyon River is a waterway located in the province of Quirino in the Philippines, contributing to the region’s local river system and landscape.
-
C.
Kuria River
Kuria River is a local watercourse associated with the Narita area in Japan, contributing to its natural landscape and drainage system.
-
D.
Kanowit River
Kanowit River is a river in Sarawak, Malaysia, that flows through the town of Kanowit before joining the larger Rajang River.
-
E.
Palanan River
Palanan River is a waterway in the municipality of Palanan in Isabela province, Philippines, known for draining the Sierra Madre forests into the Philippine Sea.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d336ae08190bfc118cfbefddf84 |
completed | April 10, 2026, 11:52 p.m. |
Created at: April 9, 2026, 9:21 p.m.