Triple
T16448495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prato allo Stelvio |
E399492
|
entity |
| Predicate | bordersWith |
P224
|
FINISHED |
| Object |
Sluderno
Sluderno is a small municipality in South Tyrol in northern Italy, known for its Alpine setting and proximity to the historic Churburg Castle.
|
E1213203
|
NE FINISHED |
How this triple was built (4 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: Sluderno | Statement: [Prato allo Stelvio, bordersWith, Sluderno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sluderno Context triple: [Prato allo Stelvio, bordersWith, Sluderno]
-
A.
Gravedona
Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
-
B.
Slanica
Slanica was a former Slovak village in the Orava region that was submerged during the creation of the Orava Reservoir, with only its church preserved on an island as a memorial.
-
C.
Verchota
Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
-
D.
Noghere
Noghere is a locality within the municipality of Muggia in northeastern Italy, near the Gulf of Trieste.
-
E.
Grubnitz
Grubnitz is a village-level subdivision of the town of Wurzen in the German state of Saxony.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sluderno Triple: [Prato allo Stelvio, bordersWith, Sluderno]
Generated description
Sluderno is a small municipality in South Tyrol in northern Italy, known for its Alpine setting and proximity to the historic Churburg Castle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sluderno Target entity description: Sluderno is a small municipality in South Tyrol in northern Italy, known for its Alpine setting and proximity to the historic Churburg Castle.
-
A.
Gravedona
Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
-
B.
Slanica
Slanica was a former Slovak village in the Orava region that was submerged during the creation of the Orava Reservoir, with only its church preserved on an island as a memorial.
-
C.
Verchota
Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
-
D.
Noghere
Noghere is a locality within the municipality of Muggia in northeastern Italy, near the Gulf of Trieste.
-
E.
Grubnitz
Grubnitz is a village-level subdivision of the town of Wurzen in the German state of Saxony.
- F. None of above. chosen
Provenance (5 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdee44c8190ae0df20c58ff7558 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004594a4508190be08f3acfff36ab0 |
completed | May 10, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_6a0046833e208190a0e1e37fc24c09e0 |
completed | May 10, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00471604f88190b7cc58a77b861585 |
completed | May 10, 2026, 8:51 a.m. |
Created at: April 10, 2026, 5:10 a.m.