Triple
T11446457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebago Lake |
E271278
|
entity |
| Predicate | inflow |
P415
|
FINISHED |
| Object | Songo River |
E904856
|
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: Songo River | Statement: [Sebago Lake, inflow, Songo River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Songo River Context triple: [Sebago Lake, inflow, Songo River]
-
A.
Songo River
chosen
The Songo River is a waterway in southwestern Maine that connects Long Lake to Sebago Lake and is known for its scenic, recreational boating route.
-
B.
Sumène River
The Sumène River is a watercourse in south-central France that originates in the Cantal Mountains and flows through the Auvergne region before joining larger river systems.
-
C.
Bua River
The Bua River is a major river in Malawi that drains part of the country’s central region before emptying into Lake Malawi.
-
D.
Ngadda River
The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
-
E.
Mula River
The Mula River is a major river in the Indian state of Maharashtra that flows through the city of Pune and forms part of its urban river system.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c6d4890819082fb4a670feb2629 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49c7ab48c8190a7cf4e6be6aacc12 |
completed | May 1, 2026, 12:28 p.m. |
Created at: April 8, 2026, 9:35 p.m.