Triple
T5238341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanni Moretti |
E118278
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Bruneck |
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: Bruneck | Statement: [Nanni Moretti, placeOfBirth, Bruneck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruneck Context triple: [Nanni Moretti, placeOfBirth, Bruneck]
-
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.
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.
-
C.
Ampezzo
Ampezzo is a town in the Dolomite region of northern Italy known for its Ladin cultural and linguistic heritage.
-
D.
Arnegg
Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
-
E.
Landeck
Landeck is a small town in the Tyrolean Alps of western Austria, known as a regional transport hub and gateway to nearby ski and hiking areas.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b290b88819095bc99c234260d25 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf1873a8608190b07f1152df8e2e5d |
completed | March 21, 2026, 10:15 p.m. |
Created at: March 20, 2026, 1:49 p.m.