Triple
T9208990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Arezzo |
E221062
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Bibbiena
Bibbiena is a historic town and municipality in Tuscany, central Italy, known for its medieval architecture and scenic setting in the Casentino valley.
|
E790188
|
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: Bibbiena | Statement: [Province of Arezzo, hasMunicipality, Bibbiena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bibbiena Context triple: [Province of Arezzo, hasMunicipality, Bibbiena]
-
A.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
-
B.
Montasola
Montasola is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
-
C.
Meldola
Meldola is a small town in the Emilia-Romagna region of northern Italy, known for its historic center and proximity to the Apennine hills.
-
D.
Merate
Merate is a town in the Lombardy region of northern Italy, known for its historic center and the Merate Astronomical Observatory.
-
E.
Segrate
Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
- 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: Bibbiena Triple: [Province of Arezzo, hasMunicipality, Bibbiena]
Generated description
Bibbiena is a historic town and municipality in Tuscany, central Italy, known for its medieval architecture and scenic setting in the Casentino valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bibbiena Target entity description: Bibbiena is a historic town and municipality in Tuscany, central Italy, known for its medieval architecture and scenic setting in the Casentino valley.
-
A.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
-
B.
Montasola
Montasola is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
-
C.
Meldola
Meldola is a small town in the Emilia-Romagna region of northern Italy, known for its historic center and proximity to the Apennine hills.
-
D.
Merate
Merate is a town in the Lombardy region of northern Italy, known for its historic center and the Merate Astronomical Observatory.
-
E.
Segrate
Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b3c8c081909a688ce699928fc0 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1adc2508190b8a24510ee61f092 |
completed | April 4, 2026, 6:37 a.m. |
| NEDg | Description generation | batch_69d0b2b9fbf4819083e594d676323c65 |
completed | April 4, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b343a040819098620e2e3c451b39 |
completed | April 4, 2026, 6:44 a.m. |
Created at: March 30, 2026, 7:26 p.m.