Triple

T7916130
Position Surface form Disambiguated ID Type / Status
Subject Schaffhausen E183831 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SH
SH is the vehicle registration code for the Swiss canton of Schaffhausen.
 E696933 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: SH | Statement: [Schaffhausen, vehicleRegistrationCode, SH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SH
Context triple: [Schaffhausen, vehicleRegistrationCode, SH]
  • A. SH
    SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
  • B. Sh1
    Sh1 is a Georgian mountain road route that traverses the Goderdzi Pass, connecting regions across the Lesser Caucasus.
  • C. SH8
    SH8 is a scenic coastal highway in southern Albania that winds along the Albanian Riviera, connecting key seaside towns and offering views of the Ionian Sea.
  • D. SHF
    SHF is the National Rail station code for Sheffield railway station, a major rail hub in South Yorkshire, England.
  • E. SHAR
    SHAR is the commonly used abbreviation for the Satish Dhawan Space Centre, India’s primary spaceport operated by ISRO for satellite launches.
  • 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: SH
Triple: [Schaffhausen, vehicleRegistrationCode, SH]
Generated description
SH is the vehicle registration code for the Swiss canton of Schaffhausen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SH
Target entity description: SH is the vehicle registration code for the Swiss canton of Schaffhausen.
  • A. SH
    SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
  • B. Sh1
    Sh1 is a Georgian mountain road route that traverses the Goderdzi Pass, connecting regions across the Lesser Caucasus.
  • C. SH8
    SH8 is a scenic coastal highway in southern Albania that winds along the Albanian Riviera, connecting key seaside towns and offering views of the Ionian Sea.
  • D. SHF
    SHF is the National Rail station code for Sheffield railway station, a major rail hub in South Yorkshire, England.
  • E. SHAR
    SHAR is the commonly used abbreviation for the Satish Dhawan Space Centre, India’s primary spaceport operated by ISRO for satellite launches.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a76ae688190b068e4c92603a16d completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5be54fdc81909a988114a6f30a13 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f20eb3c81909e059d5a02263aa2 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76bb9a308190a9d7b34838d696db completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:05 p.m.