Triple
T3479586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wibert of Ravenna |
E73456
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Civita Castellana |
E368330
|
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: Civita Castellana | Statement: [Wibert of Ravenna, burialPlace, Civita Castellana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Civita Castellana Context triple: [Wibert of Ravenna, burialPlace, Civita Castellana]
-
A.
Civita Castellana
chosen
Civita Castellana is a historic town in the Lazio region of central Italy, known for its medieval fortifications and strategic position north of Rome.
-
B.
Montefiascone
Montefiascone is a historic hilltop town in Italy’s Lazio region, known for its scenic views over Lake Bolsena and its production of the Est! Est!! Est!!! white wine.
-
C.
Viterbo
Viterbo is a historic city in central Italy known for its well-preserved medieval center, ancient thermal baths, and role as a papal residence in the 13th century.
-
D.
Viterbo
Viterbo is a municipality in the Caldas Department of Colombia, known for its coffee production and scenic Andean landscapes.
-
E.
Cerveteri
Cerveteri is an ancient Italian town best known as a powerful Etruscan city-state and for its extensive necropolis of rock-cut tombs.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb7461708190898002fbd1191f34 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb7a4e5481908322a2f0c1bf8119 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 3:17 p.m.