Triple

T15913790
Position Surface form Disambiguated ID Type / Status
Subject Turin–Ceres railway E385915 entity
Predicate hasStation P35 FINISHED
Object Cirié
Cirié is a town in the Metropolitan City of Turin in northern Italy, known for its historical center and role as a local transport hub.
 E1182655 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: Cirié | Statement: [Turin–Ceres railway, hasStation, Cirié]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cirié
Context triple: [Turin–Ceres railway, hasStation, Cirié]
  • A. Pontcharra
    Pontcharra is a small French commune in the Isère department of southeastern France, situated in the Grésivaudan valley between Grenoble and Chambéry.
  • B. Olano
    Olano is a Spanish surname most notably associated with former professional cyclist and world champion Abraham Olano.
  • C. Passi
    Passi is a component city in the province of Iloilo on Panay Island in the Western Visayas region of the Philippines, known as an agricultural and commercial hub.
  • D. Colchani
    Colchani is a small Bolivian village on the edge of the Uyuni Salt Flat that serves as a primary gateway and salt-processing center for the region.
  • E. Pasuquin
    Pasuquin is a coastal municipality in the province of Ilocos Norte in the Philippines, known for its salt-making industry and scenic beaches.
  • 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: Cirié
Triple: [Turin–Ceres railway, hasStation, Cirié]
Generated description
Cirié is a town in the Metropolitan City of Turin in northern Italy, known for its historical center and role as a local transport hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cirié
Target entity description: Cirié is a town in the Metropolitan City of Turin in northern Italy, known for its historical center and role as a local transport hub.
  • A. Pontcharra
    Pontcharra is a small French commune in the Isère department of southeastern France, situated in the Grésivaudan valley between Grenoble and Chambéry.
  • B. Olano
    Olano is a Spanish surname most notably associated with former professional cyclist and world champion Abraham Olano.
  • C. Passi
    Passi is a component city in the province of Iloilo on Panay Island in the Western Visayas region of the Philippines, known as an agricultural and commercial hub.
  • D. Colchani
    Colchani is a small Bolivian village on the edge of the Uyuni Salt Flat that serves as a primary gateway and salt-processing center for the region.
  • E. Pasuquin
    Pasuquin is a coastal municipality in the province of Ilocos Norte in the Philippines, known for its salt-making industry and scenic beaches.
  • 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.