Triple

T4549288
Position Surface form Disambiguated ID Type / Status
Subject Schwabach E110122 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SC
SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
 E451097 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: SC | Statement: [Schwabach, vehicleRegistrationCode, SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SC
Context triple: [Schwabach, vehicleRegistrationCode, SC]
  • A. SC
    SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
  • B. SC
    SC is the official Indian Railways station code for Secunderabad Junction, a major railway hub in Telangana, India.
  • C. .sc
    .sc is the country code top-level domain (ccTLD) assigned to the Republic of Seychelles for use in internet addresses.
  • D. CR
    CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
  • E. CR
    CR was the stock ticker symbol for Conrail, a major U.S. freight railroad company formed from bankrupt Northeastern railroads and later acquired by CSX and Norfolk Southern.
  • 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: SC
Triple: [Schwabach, vehicleRegistrationCode, SC]
Generated description
SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SC
Target entity description: SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
  • A. SC
    SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
  • B. SC
    SC is the official Indian Railways station code for Secunderabad Junction, a major railway hub in Telangana, India.
  • C. .sc
    .sc is the country code top-level domain (ccTLD) assigned to the Republic of Seychelles for use in internet addresses.
  • D. CR
    CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
  • E. CR
    CR was the stock ticker symbol for Conrail, a major U.S. freight railroad company formed from bankrupt Northeastern railroads and later acquired by CSX and Norfolk Southern.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f3f8348190868e274ac4df87ce completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb94cab408190956ef333aa810a3b completed March 20, 2026, 9:17 p.m.
NEDg Description generation batch_69bdbb54723081908f9c3f7100b37e74 completed March 20, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_69bdbbd02d188190bd531221a0ab9d73 completed March 20, 2026, 9:27 p.m.
Created at: March 20, 2026, 1:05 p.m.