Triple

T18592403
Position Surface form Disambiguated ID Type / Status
Subject Höchstadt an der Aisch E454401 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object HÖS NE NERFINISHED

How this triple was built (2 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: [Höchstadt an der Aisch, vehicleRegistrationCode, HÖS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HÖS
Context triple: [Höchstadt an der Aisch, vehicleRegistrationCode, HÖS]
  • A. HÖS chosen
    HÖS is the German vehicle registration code assigned to the Erlangen-Höchstadt district in Bavaria.
  • B. Unhos
    Unhos is a civil parish in the municipality of Loures, within the Lisbon District of Portugal.
  • C. Hoz
    Hoz is a Hebrew surname most notably associated with Dov Hoz, a prominent early Zionist leader and one of the founders of the Haganah.
  • D. Hoes
    Hoes is a Dutch-origin surname notably borne by Hannah Van Buren, the wife of U.S. President Martin Van Buren.
  • E. Hov
    Hov is a small coastal village on the island of Gimsøya in Norway’s Lofoten archipelago, known for its scenic beaches, golf course, and views of the midnight sun and Northern Lights.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b6792481908eae92718aa4c889 completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.