Triple
T16272190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnia |
E395027
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Forni di Sopra
Forni di Sopra is a mountain village and ski resort in the Carnia region of northeastern Italy, known for its alpine scenery and outdoor tourism.
|
E1204289
|
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: Forni di Sopra | Statement: [Carnia, contains, Forni di Sopra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forni di Sopra Context triple: [Carnia, contains, Forni di Sopra]
-
A.
Capannoli
Capannoli is a small Italian municipality in the Tuscany region, known for its rural landscapes and historic village character.
-
B.
Pizzi di Fara
Pizzi di Fara is a mountain peak in Italy’s Apennine range, located within the protected natural area of Majella National Park in Abruzzo.
-
C.
Teglio Veneto
Teglio Veneto is a small municipality in northeastern Italy known for its rural landscape and traditional Venetian cultural influences.
-
D.
Fontanafredda
Fontanafredda is a historic estate and wine-producing property in the Piedmont region of Italy, closely associated with the royal House of Savoy.
-
E.
Botticino
Botticino is an Italian town in the Lombardy region, known for its high-quality marble and traditional stone quarrying.
- 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: Forni di Sopra Triple: [Carnia, contains, Forni di Sopra]
Generated description
Forni di Sopra is a mountain village and ski resort in the Carnia region of northeastern Italy, known for its alpine scenery and outdoor tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Forni di Sopra Target entity description: Forni di Sopra is a mountain village and ski resort in the Carnia region of northeastern Italy, known for its alpine scenery and outdoor tourism.
-
A.
Capannoli
Capannoli is a small Italian municipality in the Tuscany region, known for its rural landscapes and historic village character.
-
B.
Pizzi di Fara
Pizzi di Fara is a mountain peak in Italy’s Apennine range, located within the protected natural area of Majella National Park in Abruzzo.
-
C.
Teglio Veneto
Teglio Veneto is a small municipality in northeastern Italy known for its rural landscape and traditional Venetian cultural influences.
-
D.
Fontanafredda
Fontanafredda is a historic estate and wine-producing property in the Piedmont region of Italy, closely associated with the royal House of Savoy.
-
E.
Botticino
Botticino is an Italian town in the Lombardy region, known for its high-quality marble and traditional stone quarrying.
- 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.