Triple
T9442743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venusia |
E227686
|
entity |
| Predicate | modernSite |
P1205
|
FINISHED |
| Object |
Venosa
Venosa is a historic town in the Basilicata region of southern Italy, known for its ancient Roman and medieval heritage.
|
E806252
|
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: Venosa | Statement: [Venusia, modernSite, Venosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venosa Context triple: [Venusia, modernSite, Venosa]
-
A.
Ostuni
Ostuni is a picturesque hilltop town in Italy’s Apulia region, famed for its whitewashed historic center and views over the Adriatic coast.
-
B.
Avetrana
Avetrana is a small town and comune in the Apulia region of southern Italy, known for its historic center and proximity to the Ionian Sea.
-
C.
Cerignola
Cerignola is a large agricultural and industrial town in Italy’s Apulia region, known especially for its olive production and location in the fertile Tavoliere plain.
-
D.
Policoro
Policoro is a town in the Basilicata region of southern Italy, known for its coastal location on the Ionian Sea and nearby ancient Greek archaeological remains.
-
E.
Corato
Corato is a historic town in the Apulia region of southern Italy, known for its olive oil production and traditional architecture.
- 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: Venosa Triple: [Venusia, modernSite, Venosa]
Generated description
Venosa is a historic town in the Basilicata region of southern Italy, known for its ancient Roman and medieval heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Venosa Target entity description: Venosa is a historic town in the Basilicata region of southern Italy, known for its ancient Roman and medieval heritage.
-
A.
Ostuni
Ostuni is a picturesque hilltop town in Italy’s Apulia region, famed for its whitewashed historic center and views over the Adriatic coast.
-
B.
Avetrana
Avetrana is a small town and comune in the Apulia region of southern Italy, known for its historic center and proximity to the Ionian Sea.
-
C.
Cerignola
Cerignola is a large agricultural and industrial town in Italy’s Apulia region, known especially for its olive production and location in the fertile Tavoliere plain.
-
D.
Policoro
Policoro is a town in the Basilicata region of southern Italy, known for its coastal location on the Ionian Sea and nearby ancient Greek archaeological remains.
-
E.
Corato
Corato is a historic town in the Apulia region of southern Italy, known for its olive oil production and traditional architecture.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f300cc88190a793712706295c53 |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152643bbc8190840f294442f2e1cc |
completed | April 4, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_69d153365cec8190a992c9e2cd6ad98f |
completed | April 4, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d153ad7bc0819094ff50030b943643 |
completed | April 4, 2026, 6:08 p.m. |
Created at: March 30, 2026, 7:50 p.m.