Triple

T15955844
Position Surface form Disambiguated ID Type / Status
Subject Salzlandkreis E386930 entity
Predicate hasLicensePlateCode P68833 FINISHED
Object ASL
ASL is a German vehicle registration code used for cars registered in the Salzlandkreis district of Saxony-Anhalt.
 E1185887 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: ASL | Statement: [Salzlandkreis, hasLicensePlateCode, ASL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASL
Context triple: [Salzlandkreis, hasLicensePlateCode, ASL]
  • A. ASL
    ASL is the ICAO airline designator used to identify Air Serbia in international aviation operations and communications.
  • B. ASL
    ASL is the three-letter station code used to identify Arsenal Underground station on the London Underground network.
  • C. ASL
    ASL is an international scholarly organization devoted to the advancement of research and education in symbolic logic and its applications.
  • D. American Sign Language
    American Sign Language is a natural visual-gestural language used primarily by Deaf communities in the United States and parts of Canada, with its own distinct grammar and vocabulary separate from spoken English.
  • E. Korean Sign Language
    Korean Sign Language is the primary visual-gestural language used by the Deaf community in South Korea, with its own distinct grammar and vocabulary separate from spoken Korean.
  • 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: ASL
Triple: [Salzlandkreis, hasLicensePlateCode, ASL]
Generated description
ASL is a German vehicle registration code used for cars registered in the Salzlandkreis district of Saxony-Anhalt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASL
Target entity description: ASL is a German vehicle registration code used for cars registered in the Salzlandkreis district of Saxony-Anhalt.
  • A. ASL
    ASL is the ICAO airline designator used to identify Air Serbia in international aviation operations and communications.
  • B. ASL
    ASL is the three-letter station code used to identify Arsenal Underground station on the London Underground network.
  • C. ASL
    ASL is an international scholarly organization devoted to the advancement of research and education in symbolic logic and its applications.
  • D. American Sign Language
    American Sign Language is a natural visual-gestural language used primarily by Deaf communities in the United States and parts of Canada, with its own distinct grammar and vocabulary separate from spoken English.
  • E. Korean Sign Language
    Korean Sign Language is the primary visual-gestural language used by the Deaf community in South Korea, with its own distinct grammar and vocabulary separate from spoken Korean.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fb29848190a55cabb49cb19575 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7c8ef081908fa6da7975c271f6 completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3e80b08190899262a9d03c0e93 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfc0d1548190b7d2e9e10e837f0b completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.