Triple
T3845826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Zoncolan |
E93566
|
entity |
| Predicate | hasRoadAccessFrom |
P22549
|
FINISHED |
| Object | Ovaro |
E393434
|
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: Ovaro | Statement: [Monte Zoncolan, hasRoadAccessFrom, Ovaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ovaro Context triple: [Monte Zoncolan, hasRoadAccessFrom, Ovaro]
-
A.
Ovaro
chosen
Ovaro is a small municipality in the Carnia region of Friuli-Venezia Giulia in northeastern Italy, known as a gateway village to the famous Monte Zoncolan climb in the Alps.
-
B.
Ovar
Ovar is a coastal city in northern Portugal known for its beaches, traditional Carnival celebrations, and distinctive tiled architecture.
-
C.
Ovilava
Ovilava was a major Roman-era city in the province of Noricum, located at the site of modern Wels in present-day Austria.
-
D.
Aurisina
Aurisina is a village in northeastern Italy’s Friuli Venezia Giulia region, known for its karst landscape and proximity to the Adriatic coast near Trieste.
-
E.
Caesonia
Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb77a488190be7fc2a1211f1f2d |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5122eb2708190b1aa9da233481015 |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 9, 2026, 3:18 p.m.