Triple

T15913789
Position Surface form Disambiguated ID Type / Status
Subject Turin–Ceres railway E385915 entity
Predicate hasStation P35 FINISHED
Object Torino Dora
Torino Dora is a railway station in Turin, Italy, serving as a local commuter stop on regional lines including the Turin–Ceres route.
 E1182654 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: Torino Dora | Statement: [Turin–Ceres railway, hasStation, Torino Dora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Torino Dora
Context triple: [Turin–Ceres railway, hasStation, Torino Dora]
  • A. Torino di Sangro
    Torino di Sangro is a small coastal town in Italy’s Abruzzo region, known for its Adriatic beaches, natural landscapes, and nearby World War II cemetery.
  • B. Moncalieri
    Moncalieri is a historic town near Turin in the Piedmont region of northern Italy, known for its royal Savoy residence and medieval center.
  • C. Mortara
    Mortara is a historic town in northern Italy’s Lombardy region, known for its rice cultivation and location within the fertile Po Valley.
  • D. Tirano
    Tirano is a town in the Valtellina valley of northern Italy, known as a gateway to the Alps and the starting point of the scenic Bernina Express railway into Switzerland.
  • E. Rovigotti
    Rovigotti are the inhabitants or natives of the Italian city of Rovigo, located in the Veneto 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: Torino Dora
Triple: [Turin–Ceres railway, hasStation, Torino Dora]
Generated description
Torino Dora is a railway station in Turin, Italy, serving as a local commuter stop on regional lines including the Turin–Ceres route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Torino Dora
Target entity description: Torino Dora is a railway station in Turin, Italy, serving as a local commuter stop on regional lines including the Turin–Ceres route.
  • A. Torino di Sangro
    Torino di Sangro is a small coastal town in Italy’s Abruzzo region, known for its Adriatic beaches, natural landscapes, and nearby World War II cemetery.
  • B. Moncalieri
    Moncalieri is a historic town near Turin in the Piedmont region of northern Italy, known for its royal Savoy residence and medieval center.
  • C. Mortara
    Mortara is a historic town in northern Italy’s Lombardy region, known for its rice cultivation and location within the fertile Po Valley.
  • D. Tirano
    Tirano is a town in the Valtellina valley of northern Italy, known as a gateway to the Alps and the starting point of the scenic Bernina Express railway into Switzerland.
  • E. Rovigotti
    Rovigotti are the inhabitants or natives of the Italian city of Rovigo, located in the Veneto 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15661046c819097a53de2a3e0443b completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0592b5c8190a4597644864a6bcb completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb0ef7f3081908744a759bb3e4e8c completed May 9, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69ffb1dbd7d08190b84ae201e0866139 completed May 9, 2026, 10:14 p.m.
Created at: April 10, 2026, 4:52 a.m.