Triple
T8915933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faventia |
E212296
|
entity |
| Predicate | hasLatinName |
P3646
|
FINISHED |
| Object | Faventia |
E212296
|
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: Faventia | Statement: [Faventia, hasLatinName, Faventia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faventia Context triple: [Faventia, hasLatinName, Faventia]
-
A.
Faventia
chosen
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
-
B.
Velia
Velia was an important ancient Greek coastal city in Lucania, southern Italy, known for its role as a philosophical center of the Eleatic school.
-
C.
Vacone
Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
-
D.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
E.
Frederuna
Frederuna was a 10th-century Frankish queen consort of West Francia as the first wife of King Charles the Simple.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc660f6a088190b0af829ea809d8ad |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba4567a88190855b964bc6e3ac6f |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:56 p.m.