Triple

T20967419
Position Surface form Disambiguated ID Type / Status
Subject Thur E516403 entity
Predicate flowsThrough P225 FINISHED
Object Wil
Wil is a municipality in the canton of St. Gallen in northeastern Switzerland, known as a regional economic center with a well-preserved medieval old town.
 E1459324 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 | Statement: [Thur, flowsThrough, Wil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wil
Context triple: [Thur, flowsThrough, Wil]
  • 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. WIL
    WIL is the vehicle registration code for the district of Bernkastel-Wittlich in the German state of Rhineland-Palatinate.
  • E. Wilkin
    Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
  • 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
Triple: [Thur, flowsThrough, Wil]
Generated description
Wil is a municipality in the canton of St. Gallen in northeastern Switzerland, known as a regional economic center with a well-preserved medieval old town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wil
Target entity description: Wil is a municipality in the canton of St. Gallen in northeastern Switzerland, known as a regional economic center with a well-preserved medieval old town.
  • 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. WIL
    WIL is the vehicle registration code for the district of Bernkastel-Wittlich in the German state of Rhineland-Palatinate.
  • E. Wilkin
    Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb9d6b548190af7214ad2468cfbf completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09279ce78c8190be70cc957da851e6 completed May 17, 2026, 2:27 a.m.
NEDg Description generation batch_6a0928e11bc481909b4350770db28671 completed May 17, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0929e0fb308190a224fe9dceb74a1c completed May 17, 2026, 2:37 a.m.
Created at: April 16, 2026, 1:37 p.m.