Triple
T11091207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunico |
E262258
|
entity |
| Predicate | hasItalianName |
P17612
|
FINISHED |
| Object | Brunico |
E262258
|
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: Brunico | Statement: [Brunico, hasItalianName, Brunico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brunico Context triple: [Brunico, hasItalianName, Brunico]
-
A.
Brunico
chosen
Brunico is a historic town and popular tourist center in northern Italy’s Alps, known for its medieval old town, castle, and proximity to the Dolomites.
-
B.
Ampezzo
Ampezzo is a town in the Dolomite region of northern Italy known for its Ladin cultural and linguistic heritage.
-
C.
Ortisei
Ortisei is a picturesque alpine town in northern Italy’s Dolomites, renowned for its skiing, woodcarving tradition, and role as a major tourist hub in Val Gardena.
-
D.
Gardone Val Trompia
Gardone Val Trompia is a town in the province of Brescia in northern Italy, historically renowned as a major center of firearms manufacturing.
-
E.
Oetz
Oetz is a picturesque alpine village and popular tourist resort in the Tyrolean Ötztal region of western Austria, known for skiing, hiking, and outdoor recreation.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799ebae8c8190987b474adb7ede47 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d66ded88190877a20a10f012d6b |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:27 p.m.