Triple
T12849663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerda Bormann |
E307276
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Merano |
E280303
|
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: Merano | Statement: [Gerda Bormann, burialPlace, Merano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merano Context triple: [Gerda Bormann, burialPlace, Merano]
-
A.
Merano
chosen
Merano is a historic spa and resort town in northern Italy known for its mild climate, Alpine scenery, and blend of Italian and Austrian cultural influences.
-
B.
Bolzano
Bolzano was an Italian Zara-class heavy cruiser of the Regia Marina that served during World War II in the Mediterranean Sea.
-
C.
Bolzano
Bolzano is a bilingual Italian city in the South Tyrol region, known for its Alpine setting, mix of Italian and Austrian cultures, and as the home of the famous Ötzi the Iceman museum.
-
D.
Trento
Trento is a historic city in northern Italy, known as the capital of Trentino and for its significant role in Catholic history and Alpine culture.
-
E.
Val Gardena
Val Gardena is a renowned valley in the Dolomites of northern Italy, famous for its alpine scenery, ski resorts, and Ladin-speaking communities.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9701fe684819084582d1b4c809429 |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbb93c688190910ffb6bc6fbef3f |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 9, 2026, 5:36 p.m.