Triple
T6845271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Terni |
E157878
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Narni |
E212529
|
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: Narni | Statement: [Province of Terni, contains, Narni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narni Context triple: [Province of Terni, contains, Narni]
-
A.
Narni
chosen
Narni is a historic hilltop town in the Umbria region of central Italy, known for its medieval architecture and strategic position overlooking the Nera River valley.
-
B.
Crevalcore
Crevalcore is a small Italian town in the Emilia-Romagna region, known for its agricultural surroundings and historic architecture within the Bologna metropolitan area.
-
C.
Leporano
Leporano is a coastal town and comune in the Apulia region of southern Italy, known for its beaches, archaeological sites, and historic tower.
-
D.
Cascia
Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
-
E.
Cortona
Cortona is an ancient hilltop town in Tuscany, Italy, historically significant as one of the principal cities of the Etruscan civilization.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ca96008190ba79563c2a9a9b0e |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fc42e688190baa8413883e5506c |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:19 p.m.