Triple
T18360357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gargnano |
E439897
|
entity |
| Predicate | hasFrazione |
P4207
|
FINISHED |
| Object |
Sasso
Sasso is a small hamlet (frazione) of the lakeside town of Gargnano in the Lombardy region of northern Italy.
|
E1320258
|
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: Sasso | Statement: [Gargnano, hasFrazione, Sasso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sasso Context triple: [Gargnano, hasFrazione, Sasso]
-
A.
Sassolungo
Sassolungo is a prominent mountain massif in the Dolomites of northern Italy, known for its striking vertical rock faces and popularity among hikers and climbers.
-
B.
Sassello
Sassello is a small historic town in the Liguria region of northwestern Italy, known for its scenic Apennine setting and traditional amaretti biscuits.
-
C.
Montagnana
Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
-
D.
Montescaglioso
Montescaglioso is a historic hill town in the Basilicata region of southern Italy, known for its medieval architecture and ancient monastic complexes.
-
E.
Cornizzolo
Cornizzolo is a mountain in the Lombardy region of northern Italy, popular for hiking, paragliding, and panoramic views over the surrounding lakes and Alps.
- 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: Sasso Triple: [Gargnano, hasFrazione, Sasso]
Generated description
Sasso is a small hamlet (frazione) of the lakeside town of Gargnano in the Lombardy region of northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sasso Target entity description: Sasso is a small hamlet (frazione) of the lakeside town of Gargnano in the Lombardy region of northern Italy.
-
A.
Sassolungo
Sassolungo is a prominent mountain massif in the Dolomites of northern Italy, known for its striking vertical rock faces and popularity among hikers and climbers.
-
B.
Sassello
Sassello is a small historic town in the Liguria region of northwestern Italy, known for its scenic Apennine setting and traditional amaretti biscuits.
-
C.
Montagnana
Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
-
D.
Montescaglioso
Montescaglioso is a historic hill town in the Basilicata region of southern Italy, known for its medieval architecture and ancient monastic complexes.
-
E.
Cornizzolo
Cornizzolo is a mountain in the Lombardy region of northern Italy, popular for hiking, paragliding, and panoramic views over the surrounding lakes and Alps.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516db045c8190b20c209225a53b9a |
completed | April 19, 2026, 5:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03cc328b108190b28416eb5bfb0b4f |
completed | May 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_6a03d2a6e7648190881a140d42ae7e86 |
completed | May 13, 2026, 1:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d40ba5ec81909371d4134a88101d |
completed | May 13, 2026, 1:29 a.m. |
Created at: April 10, 2026, 10:37 a.m.