Triple
T12680873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irsina |
E302942
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Montepeloso
Montepeloso is the historical name of the town now known as Irsina, located in the Basilicata region of southern Italy.
|
E1009725
|
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: Montepeloso | Statement: [Irsina, hasAlternativeName, Montepeloso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montepeloso Context triple: [Irsina, hasAlternativeName, Montepeloso]
-
A.
Albuccione
Albuccione is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
-
B.
Montagnola
Montagnola is a village in the Swiss canton of Ticino, known for being the longtime residence and final home of writer Hermann Hesse.
-
C.
Ponteceso
Ponteceso is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its rugged Atlantic shoreline and traditional Galician culture.
-
D.
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.
-
E.
Montagnana
Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
- 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: Montepeloso Triple: [Irsina, hasAlternativeName, Montepeloso]
Generated description
Montepeloso is the historical name of the town now known as Irsina, located in the Basilicata region of southern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montepeloso Target entity description: Montepeloso is the historical name of the town now known as Irsina, located in the Basilicata region of southern Italy.
-
A.
Albuccione
Albuccione is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
-
B.
Montagnola
Montagnola is a village in the Swiss canton of Ticino, known for being the longtime residence and final home of writer Hermann Hesse.
-
C.
Ponteceso
Ponteceso is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its rugged Atlantic shoreline and traditional Galician culture.
-
D.
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.
-
E.
Montagnana
Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b32dbc81908101fc5f07e26ed3 |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a53c03248190bd16ebaed9958815 |
completed | May 3, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69f6a6db731c819091b96c4ed6a50f19 |
completed | May 3, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a8a31264819082c1ce67eaa529cc |
completed | May 3, 2026, 1:45 a.m. |
Created at: April 9, 2026, 5:21 p.m.