Triple
T3467845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dora Riparia |
E73179
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Cenischia
Cenischia is a mountain stream in northwestern Italy that flows through the Cenis Valley before joining the Dora Riparia river.
|
E361803
|
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: Cenischia | Statement: [Dora Riparia, hasTributary, Cenischia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cenischia Context triple: [Dora Riparia, hasTributary, Cenischia]
-
A.
Caesonia
Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
-
B.
Lozanella
Lozanella is a small genus of flowering plants in the hemp family Cannabaceae, native to parts of Central and South America.
-
C.
Chersina
Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
-
D.
Veroli
Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
-
E.
Salamina
Salamina is a historic Colombian town in the Caldas Department, renowned for its well-preserved colonial architecture and coffee-growing heritage in the Andean region.
- 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: Cenischia Triple: [Dora Riparia, hasTributary, Cenischia]
Generated description
Cenischia is a mountain stream in northwestern Italy that flows through the Cenis Valley before joining the Dora Riparia river.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cenischia Target entity description: Cenischia is a mountain stream in northwestern Italy that flows through the Cenis Valley before joining the Dora Riparia river.
-
A.
Caesonia
Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
-
B.
Lozanella
Lozanella is a small genus of flowering plants in the hemp family Cannabaceae, native to parts of Central and South America.
-
C.
Chersina
Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
-
D.
Veroli
Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
-
E.
Salamina
Salamina is a historic Colombian town in the Caldas Department, renowned for its well-preserved colonial architecture and coffee-growing heritage in the Andean region.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb11ec5881908347bf92883a25ee |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680763608190acdd146dc7c0b239 |
completed | March 13, 2026, 1:27 a.m. |
| NEDg | Description generation | batch_69b36c4d77448190abe198ec9d48597d |
completed | March 13, 2026, 1:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36cca06d48190bc72ad2e9bd9bdb5 |
completed | March 13, 2026, 1:47 a.m. |
Created at: March 8, 2026, 3:17 p.m.