Triple
T6718744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nursia |
E153339
|
entity |
| Predicate | modernName |
P1213
|
FINISHED |
| Object | Norcia |
E214236
|
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: Norcia | Statement: [Nursia, modernName, Norcia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norcia Context triple: [Nursia, modernName, Norcia]
-
A.
Norcia
chosen
Norcia is a historic town in central Italy renowned for its medieval architecture, monastic heritage, and traditional cured meats.
-
B.
Nocera Umbra
Nocera Umbra is a historic hill town in the Umbria region of central Italy, known for its medieval architecture and mineral springs.
-
C.
Pescasseroli
Pescasseroli is a town in Italy’s Abruzzo region, best known as a gateway to the Abruzzo National Park and as the birthplace of philosopher and historian Benedetto Croce.
-
D.
Vetralla
Vetralla is a historic town and comune in the Lazio region of central Italy, known for its medieval architecture and location along the ancient Via Cassia.
-
E.
Ariccia
Ariccia is a historic town in the Alban Hills near Rome, known for its Baroque architecture and traditional porchetta.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d135d27c819088c45839ad0e7bab |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f8255ac81909e7732947d2a5f53 |
completed | March 28, 2026, 1:31 a.m. |
Created at: March 27, 2026, 2:07 p.m.