Triple
T7079618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake River |
E164915
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Lake River |
E164915
|
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: Lake River | Statement: [Lake River, hasName, Lake River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake River Context triple: [Lake River, hasName, Lake River]
-
A.
Lake River
chosen
Lake River is a tributary waterway in southwestern Washington State that connects Vancouver Lake to the Columbia River.
-
B.
Pine River
Pine River is a Canadian river that serves as a tributary of the Peace River in western Canada.
-
C.
Pine River
Pine River is a natural watercourse flowing through Tasmania’s Cradle Mountain-Lake St Clair National Park, contributing to the park’s alpine and glacially carved landscape.
-
D.
Pine River
Pine River is a waterway located within Michigan’s remote and rugged Huron Mountains region.
-
E.
Loup River
The Loup River is a major tributary in central Nebraska that drains agricultural plains before joining the Platte River within the Missouri River watershed.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4f063488190b9e1c614a9294bd1 |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2281e332c819093444685d37b9251 |
completed | April 5, 2026, 9:15 a.m. |
Created at: March 27, 2026, 2:40 p.m.