Triple
T6078931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val Gardena |
E135472
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Ortisei |
E565953
|
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: Ortisei | Statement: [Val Gardena, hasVillage, Ortisei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ortisei Context triple: [Val Gardena, hasVillage, Ortisei]
-
A.
Ortisei
chosen
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.
-
B.
Ampezzo
Ampezzo is a town in the Dolomite region of northern Italy known for its Ladin cultural and linguistic heritage.
-
C.
Brunico
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.
-
D.
La Thuile
La Thuile is a mountain village and ski resort in northwestern Italy known for its extensive slopes and cross-border ski area linked with La Rosière in France.
-
E.
Pontresina
Pontresina is a Swiss alpine resort village in the canton of Graubünden, known for its scenic mountain landscapes and proximity to St. Moritz in the Upper Engadine valley.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0577209b88190afe5b1365cf6436d |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14153e95081909e0d77cb48733561 |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:11 p.m.