Triple
T22798463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asiago plateau |
E564312
|
entity |
| Predicate | notableSettlement |
P13187
|
FINISHED |
| Object | Roana |
—
|
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: Roana | Statement: [Asiago plateau, notableSettlement, Roana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roana Context triple: [Asiago plateau, notableSettlement, Roana]
-
A.
Roana
chosen
Roana is a small mountain municipality in the Veneto region of northern Italy, known for its scenic landscapes and traditional alpine culture on the Asiago plateau.
-
B.
Morhet
Morhet is a village in the Walloon region of Belgium, located within the municipality of Vaux-sur-Sûre in the province of Luxembourg.
-
C.
Murino
Murino is an Italian surname most notably borne by actress and former Bond girl Caterina Murino.
-
D.
Murino
Murino is a rapidly growing suburban town on the outskirts of Saint Petersburg in northwestern Russia.
-
E.
Iselin
Iselin is an unincorporated community and census-designated place in Middlesex County, New Jersey, known for its diverse population and proximity to major transportation routes.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cda76448190891c5190e1d75ae0 |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:31 p.m.