Triple
T1906875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via Aemilia |
E38023
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Faventia
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
|
E212296
|
NE FINISHED |
How this triple was built (4 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: [Via Aemilia, connects, Faventia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faventia Context triple: [Via Aemilia, connects, Faventia]
-
A.
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.
-
B.
Evessa
Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
-
C.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
-
D.
Fertagus
Fertagus is a private suburban rail operator serving the Lisbon metropolitan area, notably running commuter trains across the 25 de Abril Bridge between Lisbon and the Setúbal Peninsula.
-
E.
Meliae
The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Faventia Triple: [Via Aemilia, connects, Faventia]
Generated description
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faventia Target entity description: Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
-
A.
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.
-
B.
Evessa
Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
-
C.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
-
D.
Fertagus
Fertagus is a private suburban rail operator serving the Lisbon metropolitan area, notably running commuter trains across the 25 de Abril Bridge between Lisbon and the Setúbal Peninsula.
-
E.
Meliae
The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
- F. None of above. chosen
Provenance (5 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b44174819084fa06faf1930221 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeafb063481908a08f5570acc5b57 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adec22c5e48190af85fa4a1d4c5d8d |
completed | March 8, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec9a840c8190a03f4de0f03a0e10 |
completed | March 8, 2026, 9:39 p.m. |
Created at: March 4, 2026, 7:35 p.m.