Triple
T3595211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nerva |
E76121
|
entity |
| Predicate | birthPlace |
P1
|
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: [Nerva, birthPlace, Narni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narni Context triple: [Nerva, birthPlace, 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.
Cortona
Cortona is an ancient hilltop town in Tuscany, Italy, historically significant as one of the principal cities of the Etruscan civilization.
-
C.
Valperga
Valperga is a historical novel by Mary Shelley that reimagines the life and times of the 14th-century Italian warlord Castruccio Castracani through a blend of romance, politics, and philosophical reflection.
-
D.
Cittaducale
Cittaducale is a historic town and comune in the Lazio region of central Italy, known for its medieval architecture and scenic setting near the Apennine Mountains.
-
E.
Todi
Todi is a historic hilltop town in central Italy known for its medieval architecture, scenic views over the Tiber Valley, and well-preserved city walls and churches.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc15f41cc819085b3e897d823757d |
completed | March 8, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b403130cf081909bb90800d7dc2d6f |
completed | March 13, 2026, 12:29 p.m. |
Created at: March 8, 2026, 3:22 p.m.