Triple
T18278150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tannay |
E437792
|
entity |
| Predicate | locatedOnShoreOf |
P969
|
FINISHED |
| Object | Lake Geneva |
—
|
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: Lake Geneva | Statement: [Tannay, locatedOnShoreOf, Lake Geneva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Geneva Context triple: [Tannay, locatedOnShoreOf, Lake Geneva]
-
A.
Lake Geneva
chosen
Lake Geneva is a large crescent-shaped lake on the north side of the Alps, shared by Switzerland and France and renowned for its scenic beauty and surrounding cities like Geneva and Lausanne.
-
B.
Geneva Lake
Geneva Lake is a popular glacial lake in southeastern Wisconsin known for its resort communities, recreational boating, and scenic shoreline.
-
C.
Lake of Gruyère
Lake of Gruyère is an artificial reservoir in the Swiss canton of Fribourg, known for its scenic setting amid pre-Alpine landscapes and the nearby medieval town of Gruyères.
-
D.
Lake Lucerne
Lake Lucerne is a residential community in Miami Gardens, Florida, known for its suburban character within the Miami metropolitan area.
-
E.
Lake Lucerne
Lake Lucerne is a picturesque, fjord-like lake in central Switzerland, renowned for its dramatic mountain scenery, historic sites, and role as a major tourist destination.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50053cc808190b46a3ec9d96936fe |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 10:34 a.m.