Triple
T22715148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan area of Taranto |
E561708
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Ginosa |
E528058
|
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: Ginosa | Statement: [Metropolitan area of Taranto, hasMunicipality, Ginosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ginosa Context triple: [Metropolitan area of Taranto, hasMunicipality, Ginosa]
-
A.
Ginosa
chosen
Ginosa is a town and comune in the Apulia region of southern Italy, known for its historic center and proximity to the Ionian coast.
-
B.
Cataldo
Cataldo is a small unincorporated community in northern Idaho known for its historic Cataldo Mission, the oldest standing building in the state.
-
C.
Roccagorga
Roccagorga is a small Italian town and comune in the Lazio region, known for its historic hilltop setting and traditional rural character.
-
D.
Figari
Figari is a small commune in southern Corsica, France, known for its coastal landscapes, vineyards, and role as a regional transport hub.
-
E.
Partinico
Partinico is a town in the Metropolitan City of Palermo in Sicily, Italy, known for its agricultural production and traditional Sicilian character.
- 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_6a0b9e824a008190a2fa16d518051930 |
completed | May 18, 2026, 11:19 p.m. |
Created at: April 17, 2026, 3:18 p.m.