Triple
T2689046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Île de la Harpe |
E57554
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Rolle |
E100491
|
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: Rolle | Statement: [Île de la Harpe, near, Rolle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rolle Context triple: [Île de la Harpe, near, Rolle]
-
A.
Rolle
chosen
Rolle is a picturesque Swiss town on the shores of Lake Geneva, known for its lakeside promenade, historic castle, and surrounding vineyards.
-
B.
Rolen
Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
-
C.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
-
D.
Rolph
Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
-
E.
Odilon
Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f380d48190953529d23688a328 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf5e85bc81908ba1b1968cfa440a |
completed | March 10, 2026, 5:42 a.m. |
Created at: March 6, 2026, 9:54 p.m.