Triple
T18816858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maranello |
E460157
|
entity |
| Predicate | hasFrazione |
P4207
|
FINISHED |
| Object |
San Venanzio
San Venanzio is a small locality (frazione) within the municipality of Maranello in Italy’s Emilia-Romagna region.
|
E1343847
|
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: San Venanzio | Statement: [Maranello, hasFrazione, San Venanzio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Venanzio Context triple: [Maranello, hasFrazione, San Venanzio]
-
A.
San Vigilio
San Vigilio is a locality or district within the municipality of Concesio in the Lombardy region of northern Italy.
-
B.
San Nicolò
San Nicolò is a small locality or frazione within the Alpine municipality of Valfurva in northern Italy.
-
C.
San Nicola Arcella
San Nicola Arcella is a coastal town in southern Italy known for its dramatic cliffs, beaches, and views over the Tyrrhenian Sea.
-
D.
Saint Florian
Saint Florian is a Christian martyr and patron saint of firefighters, chimney sweeps, and those in danger from fire and flood, especially venerated in Central Europe.
-
E.
Saint Vitalis
Saint Vitalis is a Christian martyr venerated as a saint, traditionally associated with early persecutions of the Church and honored in various churches bearing his name.
- 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: San Venanzio Triple: [Maranello, hasFrazione, San Venanzio]
Generated description
San Venanzio is a small locality (frazione) within the municipality of Maranello in Italy’s Emilia-Romagna region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Venanzio Target entity description: San Venanzio is a small locality (frazione) within the municipality of Maranello in Italy’s Emilia-Romagna region.
-
A.
San Vigilio
San Vigilio is a locality or district within the municipality of Concesio in the Lombardy region of northern Italy.
-
B.
San Nicolò
San Nicolò is a small locality or frazione within the Alpine municipality of Valfurva in northern Italy.
-
C.
San Nicola Arcella
San Nicola Arcella is a coastal town in southern Italy known for its dramatic cliffs, beaches, and views over the Tyrrhenian Sea.
-
D.
Saint Florian
Saint Florian is a Christian martyr and patron saint of firefighters, chimney sweeps, and those in danger from fire and flood, especially venerated in Central Europe.
-
E.
Saint Vitalis
Saint Vitalis is a Christian martyr venerated as a saint, traditionally associated with early persecutions of the Church and honored in various churches bearing his name.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6b620248190afa21a6ce61e2cff |
completed | April 20, 2026, 4:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055bc7cf40819084b9b975daa86b5f |
completed | May 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a055d9a9da88190b974e8803ca8537f |
completed | May 14, 2026, 5:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a055e1a22308190bb7f2337fabc5bdf |
completed | May 14, 2026, 5:31 a.m. |
Created at: April 10, 2026, 11:55 a.m.