Triple
T16272197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnia |
E395027
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Prato Carnico
Prato Carnico is a small mountain municipality in the Carnia region of northeastern Italy, known for its traditional Alpine architecture and scenic Dolomite landscapes.
|
E1204292
|
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: Prato Carnico | Statement: [Carnia, contains, Prato Carnico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prato Carnico Context triple: [Carnia, contains, Prato Carnico]
-
A.
Botticino
Botticino is an Italian town in the Lombardy region, known for its high-quality marble and traditional stone quarrying.
-
B.
Faggiano
Faggiano is a small town and comune in the Apulia region of southern Italy, situated within the Province of Taranto.
-
C.
Asiago
Asiago is a town in Italy’s Veneto region best known for giving its name to the popular semi-soft Asiago cheese and for its scenic plateau setting.
-
D.
Cecina
Cecina is a coastal town in Tuscany, Italy, known for its beaches, tourism, and proximity to the Tyrrhenian Sea.
-
E.
Botarell
Botarell is a small municipality in the Baix Camp comarca of Catalonia, Spain, known for its rural character and Mediterranean surroundings.
- 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: Prato Carnico Triple: [Carnia, contains, Prato Carnico]
Generated description
Prato Carnico is a small mountain municipality in the Carnia region of northeastern Italy, known for its traditional Alpine architecture and scenic Dolomite landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prato Carnico Target entity description: Prato Carnico is a small mountain municipality in the Carnia region of northeastern Italy, known for its traditional Alpine architecture and scenic Dolomite landscapes.
-
A.
Botticino
Botticino is an Italian town in the Lombardy region, known for its high-quality marble and traditional stone quarrying.
-
B.
Faggiano
Faggiano is a small town and comune in the Apulia region of southern Italy, situated within the Province of Taranto.
-
C.
Asiago
Asiago is a town in Italy’s Veneto region best known for giving its name to the popular semi-soft Asiago cheese and for its scenic plateau setting.
-
D.
Cecina
Cecina is a coastal town in Tuscany, Italy, known for its beaches, tourism, and proximity to the Tyrrhenian Sea.
-
E.
Botarell
Botarell is a small municipality in the Baix Camp comarca of Catalonia, Spain, known for its rural character and Mediterranean surroundings.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460a4f7c8190a614c11f7eaa0a7a |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017bf09888190b3d90db3517a2f1e |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a00193f71548190b40feeea73b0c252 |
completed | May 10, 2026, 5:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001a0def548190a1d800f858f3cb02 |
completed | May 10, 2026, 5:39 a.m. |
Created at: April 10, 2026, 5:05 a.m.