Triple

T12385526
Position Surface form Disambiguated ID Type / Status
Subject Erlangen-Höchstadt E295851 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object HÖS
HÖS is the German vehicle registration code assigned to the Erlangen-Höchstadt district in Bavaria.
 E979397 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: HÖS | Statement: [Erlangen-Höchstadt, vehicleRegistrationCode, HÖS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HÖS
Context triple: [Erlangen-Höchstadt, vehicleRegistrationCode, HÖS]
  • A. Unhos
    Unhos is a civil parish in the municipality of Loures, within the Lisbon District of Portugal.
  • B. Hov
    Hov is a small village on the Faroe Islands' southernmost island of Suðuroy, known for its coastal setting and traditional Faroese character.
  • C. He-O
    He-O is a musical track by the Greek composer Vangelis, featured on his 1979 electronic and progressive album "Earth."
  • D. Hosk
    Hosk is a Swedish surname most notably borne by supermodel and former Victoria’s Secret Angel Elsa Hosk.
  • E. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • 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: HÖS
Triple: [Erlangen-Höchstadt, vehicleRegistrationCode, HÖS]
Generated description
HÖS is the German vehicle registration code assigned to the Erlangen-Höchstadt district in Bavaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HÖS
Target entity description: HÖS is the German vehicle registration code assigned to the Erlangen-Höchstadt district in Bavaria.
  • A. Unhos
    Unhos is a civil parish in the municipality of Loures, within the Lisbon District of Portugal.
  • B. Hov
    Hov is a small village on the Faroe Islands' southernmost island of Suðuroy, known for its coastal setting and traditional Faroese character.
  • C. He-O
    He-O is a musical track by the Greek composer Vangelis, featured on his 1979 electronic and progressive album "Earth."
  • D. Hosk
    Hosk is a Swedish surname most notably borne by supermodel and former Victoria’s Secret Angel Elsa Hosk.
  • E. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac939bc819081629b9eef20c4e7 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62c7b28588190839c35c19856d16f completed May 2, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_69f62e403a308190a2bba3fefc420932 completed May 2, 2026, 5:02 p.m.
Created at: April 8, 2026, 9:54 p.m.