Triple
T15543372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camuno |
E370537
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Camun |
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: Camun | Statement: [Camuno, hasAlternativeName, Camun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camun Context triple: [Camuno, hasAlternativeName, Camun]
-
A.
Camuno
chosen
Camuno is a regional Romance dialect spoken in the Camonica Valley of Lombardy in northern Italy.
-
B.
Roero
Roero is a hilly wine-producing area in Italy’s Piedmont region, renowned for its aromatic white Arneis and elegant Nebbiolo-based reds.
-
C.
Vercellana
Vercellana is an Italian surname most notably associated with Rosa Vercellana, the morganatic wife of King Victor Emmanuel II of Italy.
-
D.
Montenars
Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
-
E.
Nigoglia
Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04432c3808190bb5b653bf8de30c6 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4558677881908704ac86c12e1fc4 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:07 a.m.