Triple
T3559545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lombard |
E75301
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Lecchese |
E370537
|
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: Lecchese | Statement: [Lombard, hasDialect, Lecchese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lecchese Context triple: [Lombard, hasDialect, Lecchese]
-
A.
Brescian
Brescian is a variety of the Lombard language traditionally spoken in and around the city of Brescia in northern Italy.
-
B.
Emilian-Romagnol
Emilian-Romagnol is a Romance language variety spoken primarily in Italy’s Emilia-Romagna region, known for its distinct phonology and vocabulary compared to standard Italian.
-
C.
Selasca
Selasca is a small locality in northern Italy notable as the place where the mathematician Bernhard Riemann died.
-
D.
Camuno
chosen
Camuno is a regional Romance dialect spoken in the Camonica Valley of Lombardy in northern Italy.
-
E.
Nursia
Nursia is an ancient town in central Italy, historically significant as the birthplace of Saint Benedict and known today as Norcia.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc089270c81908bc200c84fe1592e |
completed | March 8, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402e41b8c8190b6221725c7a84532 |
completed | March 13, 2026, 12:28 p.m. |
Created at: March 8, 2026, 3:20 p.m.