Triple
T13850944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legnago |
E332937
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Rovigo |
E289648
|
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: Rovigo | Statement: [Legnago, locatedNear, Rovigo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rovigo Context triple: [Legnago, locatedNear, Rovigo]
-
A.
Rovigo
chosen
Rovigo is a small historic city in northeastern Italy known for its medieval architecture and location in the fertile Po River plain.
-
B.
Cesena
Cesena is a historic city in the Emilia-Romagna region of northern Italy, known for its medieval center and the UNESCO-listed Malatestiana Library.
-
C.
Schio
Schio is an industrial town in northeastern Italy known historically for its textile production and location in the Veneto region.
-
D.
Padua
Padua is a historic city in northern Italy renowned as a major cultural and academic center, home to one of Europe’s oldest universities.
-
E.
Rovato
Rovato is a town and municipality in the Lombardy region of northern Italy, situated in the Franciacorta wine-producing area.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02d8fb788190baef7537be2baecb |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd323be8d48190b0b289f25de06fb1 |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 9, 2026, 10:14 p.m.