Triple
T10929583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Colden |
E258164
|
entity |
| Predicate | inflow |
P415
|
FINISHED |
| Object | Flowed Lands outlet |
E219068
|
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: Flowed Lands outlet | Statement: [Lake Colden, inflow, Flowed Lands outlet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flowed Lands outlet Context triple: [Lake Colden, inflow, Flowed Lands outlet]
-
A.
Flowed Lands
chosen
Flowed Lands is a remote, marshy area in the Adirondack High Peaks region of New York, known as the source of the Opalescent River and a destination for backcountry hikers.
-
B.
Flomaton
Flomaton is a small town in Escambia County, Alabama, known as a historic railroad junction near the Florida state line.
-
C.
Shipmeadow
Shipmeadow is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
D.
Leaf International
Leaf International was a confectionery company known for producing candies and chewing gum before being acquired by Cloetta.
-
E.
Confluentes
Confluentes is the ancient Latin name for the German city of Koblenz, historically situated at the confluence of the Rhine and Moselle rivers.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709eb0ec819093f7d3f99097bbe4 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2175711d4819088f93bdf64ba4d3f |
completed | April 17, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:22 p.m.