Triple
T7126710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loon Lake |
E166080
|
entity |
| Predicate | watercourse |
P415
|
FINISHED |
| Object | Rubicon River |
E194651
|
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: Rubicon River | Statement: [Loon Lake, watercourse, Rubicon River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rubicon River Context triple: [Loon Lake, watercourse, Rubicon River]
-
A.
Rubicon River
chosen
The Rubicon River is a small river in northern Italy historically famous as the boundary Julius Caesar crossed in 49 BCE, symbolizing a point of no return.
-
B.
Segre River
The Segre River is a significant river in northeastern Spain that flows through the Pyrenees and Catalonia before joining the Ebro River.
-
C.
Sym River
The Sym River is a significant waterway in central Siberia that flows through the Krasnoyarsk Krai region of Russia.
-
D.
Paterson River
The Paterson River is a significant waterway in New South Wales, Australia, flowing through rural landscapes and contributing to the Hunter River catchment.
-
E.
Seille River
The Seille River is a tributary of the Moselle in northeastern France that flows through the city of Metz.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64ee8ac81909ee1c7cb1db3af33 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a3357e548190bb56c31843c69f95 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:44 p.m.