Triple

T6114607
Position Surface form Disambiguated ID Type / Status
Subject Dörflingen E136328 entity
Predicate isoCodeRegion P27650 FINISHED
Object CH-SH
CH-SH is the Swiss canton of Schaffhausen, a small German-speaking region in northern Switzerland known for its historic old town and the nearby Rhine Falls.
 E568254 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: CH-SH | Statement: [Dörflingen, isoCodeRegion, CH-SH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CH-SH
Context triple: [Dörflingen, isoCodeRegion, CH-SH]
  • A. CH-SO
    CH-SO is the ISO 3166-2 code designating the Swiss canton of Solothurn.
  • B. CHS
    CHS is the abbreviation for the Committee on Hemispheric Security, a body within the Organization of American States focused on security issues in the Western Hemisphere.
  • C. CHS
    CHS is the three-letter IATA airport code for Charleston International Airport, the primary commercial airport serving the Charleston, South Carolina area.
  • D. CHS
    CHS is the abbreviation for the Council of Heads of State, a high-level political body composed of the top leaders of member countries.
  • E. CSH
    CSH is an abbreviation commonly used for the College of Science and Health, an academic division focused on scientific and health-related disciplines.
  • 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: CH-SH
Triple: [Dörflingen, isoCodeRegion, CH-SH]
Generated description
CH-SH is the Swiss canton of Schaffhausen, a small German-speaking region in northern Switzerland known for its historic old town and the nearby Rhine Falls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CH-SH
Target entity description: CH-SH is the Swiss canton of Schaffhausen, a small German-speaking region in northern Switzerland known for its historic old town and the nearby Rhine Falls.
  • A. CH-SO
    CH-SO is the ISO 3166-2 code designating the Swiss canton of Solothurn.
  • B. CHS
    CHS is the abbreviation for the Committee on Hemispheric Security, a body within the Organization of American States focused on security issues in the Western Hemisphere.
  • C. CHS
    CHS is the three-letter IATA airport code for Charleston International Airport, the primary commercial airport serving the Charleston, South Carolina area.
  • D. CHS
    CHS is the abbreviation for the Council of Heads of State, a high-level political body composed of the top leaders of member countries.
  • E. CSH
    CSH is an abbreviation commonly used for the College of Science and Health, an academic division focused on scientific and health-related disciplines.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bc0bee08190ab93eae34ea8cdde completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12566fb908190bb9c27fe64f618cd completed March 23, 2026, 11:35 a.m.
NEDg Description generation batch_69c126dd44888190b20a02ede3705918 completed March 23, 2026, 11:41 a.m.
NED2 Entity disambiguation (via description) batch_69c1276a279c8190a6833c8c986e1291 completed March 23, 2026, 11:43 a.m.
Created at: March 22, 2026, 4:14 p.m.