Triple
T19316150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bassignana |
E483101
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Valenza |
—
|
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: Valenza | Statement: [Bassignana, sharesBorderWith, Valenza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valenza Context triple: [Bassignana, sharesBorderWith, Valenza]
-
A.
Valenza
chosen
Valenza is a historic town in Italy’s Piedmont region, known especially for its long-standing goldsmith and jewelry-making tradition.
-
B.
Novedrate
Novedrate is a small municipality in the Province of Como in the Lombardy region of northern Italy.
-
C.
Ortezzano
Ortezzano is a small historic town in Italy’s Marche region, known for its scenic hilltop setting amid vineyards and olive groves.
-
D.
Montefano
Montefano is a small historic town in Italy’s Marche region, known for its hilltop setting and traditional rural character.
-
E.
Grignano
Grignano is a coastal locality near Trieste in northeastern Italy, known for its scenic bay and proximity to Miramare Castle.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d843640819089ff3738aae29eb1 |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.