Triple

T16222781
Position Surface form Disambiguated ID Type / Status
Subject Winterthur railway station E393769 entity
Predicate connectsTo P845 FINISHED
Object Wil SG
Wil SG is a town and railway hub in the canton of St. Gallen, Switzerland, serving as a regional center for transport and commerce.
 E1200491 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: Wil SG | Statement: [Winterthur railway station, connectsTo, Wil SG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wil SG
Context triple: [Winterthur railway station, connectsTo, Wil SG]
  • A. Wil
    Wil is a common shortened form of the given name Willem, often used as an informal or familiar nickname.
  • B. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • C. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • D. Wei
    Wei is a common Chinese surname with historical significance and numerous notable bearers across Chinese history and culture.
  • E. Wei
    Wei was an ancient Chinese state during the Warring States period, known for its early strength and later decline before being annexed by the rising Qin dynasty.
  • 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: Wil SG
Triple: [Winterthur railway station, connectsTo, Wil SG]
Generated description
Wil SG is a town and railway hub in the canton of St. Gallen, Switzerland, serving as a regional center for transport and commerce.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wil SG
Target entity description: Wil SG is a town and railway hub in the canton of St. Gallen, Switzerland, serving as a regional center for transport and commerce.
  • A. Wil
    Wil is a common shortened form of the given name Willem, often used as an informal or familiar nickname.
  • B. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • C. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • D. Wei
    Wei is a common Chinese surname with historical significance and numerous notable bearers across Chinese history and culture.
  • E. Wei
    Wei was an ancient Chinese state during the Warring States period, known for its early strength and later decline before being annexed by the rising Qin dynasty.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fcf058819099d5ff965cc2c267 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079a5c1481909485e1b4a41f5d2c completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a0008d53b6081908d66b2c09e8b2565 completed May 10, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_6a00096cabec81908fec25052e9cf4f8 completed May 10, 2026, 4:28 a.m.
Created at: April 10, 2026, 5:03 a.m.