Triple

T13369184
Position Surface form Disambiguated ID Type / Status
Subject Capolago-Riva San Vitale railway station E319017 entity
Predicate hasServiceOperator P5884 FINISHED
Object TILO
TILO is a Swiss-Italian regional railway company that operates cross-border commuter train services between Ticino in Switzerland and Lombardy in Italy.
 E1037727 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: TILO | Statement: [Capolago-Riva San Vitale railway station, hasServiceOperator, TILO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TILO
Context triple: [Capolago-Riva San Vitale railway station, hasServiceOperator, TILO]
  • A. Til
    Til is the first name of Til Schweiger, a prominent German actor, filmmaker, and producer known for his roles in both German cinema and international films.
  • B. Tilok
    Tilok is a variant spelling of the Indian given name "Tilak," commonly used in South Asian cultures.
  • C. Litovel
    Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
  • D. Tiltil
    Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
  • E. Tilelli
    Tilelli is a surname most notably associated with retired U.S. Army General John H. Tilelli Jr.
  • 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: TILO
Triple: [Capolago-Riva San Vitale railway station, hasServiceOperator, TILO]
Generated description
TILO is a Swiss-Italian regional railway company that operates cross-border commuter train services between Ticino in Switzerland and Lombardy in Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TILO
Target entity description: TILO is a Swiss-Italian regional railway company that operates cross-border commuter train services between Ticino in Switzerland and Lombardy in Italy.
  • A. Til
    Til is the first name of Til Schweiger, a prominent German actor, filmmaker, and producer known for his roles in both German cinema and international films.
  • B. Tilok
    Tilok is a variant spelling of the Indian given name "Tilak," commonly used in South Asian cultures.
  • C. Litovel
    Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
  • D. Tiltil
    Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
  • E. Tilelli
    Tilelli is a surname most notably associated with retired U.S. Army General John H. Tilelli Jr.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd79184819088948cd38d10a4a5 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72680df088190b8dbcc8ad0d7366e completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f727512c94819091985c7942f40b31 completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f72b77d650819092c02f6488b2cfb2 completed May 3, 2026, 11:03 a.m.
Created at: April 9, 2026, 9:33 p.m.