Triple
T22715133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan area of Taranto |
E561708
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Leporano |
E528064
|
NE FINISHED |
How this triple was built (2 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: Leporano | Statement: [Metropolitan area of Taranto, hasMunicipality, Leporano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leporano Context triple: [Metropolitan area of Taranto, hasMunicipality, Leporano]
-
A.
Leporano
chosen
Leporano is a coastal town and comune in the Apulia region of southern Italy, known for its beaches, archaeological sites, and historic tower.
-
B.
Luceria
Luceria is an ancient town of southern Italy, historically significant in the region of Samnium and known for its strategic and military importance in Roman times.
-
C.
Erbalunga
Erbalunga is a picturesque historic fishing village on the Cap Corse peninsula in northern Corsica, known for its old stone houses, small harbor, and scenic Mediterranean coastline.
-
D.
Nocciano
Nocciano is a small Italian town and comune in the Abruzzo region, known for its historic hilltop setting and traditional rural character.
-
E.
Carassai
Carassai is a small historic hill town in Italy’s Marche region, known for its medieval architecture and scenic countryside setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790ca59881909064d49f331fb711 |
completed | April 29, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7edd69648190af49c198a389798f |
completed | May 18, 2026, 9:04 p.m. |
Created at: April 17, 2026, 3:18 p.m.