Triple

T21382641
Position Surface form Disambiguated ID Type / Status
Subject Wiesloch E527400 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object HD 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: HD | Statement: [Wiesloch, vehicleRegistrationCode, HD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HD
Context triple: [Wiesloch, vehicleRegistrationCode, HD]
  • A. HD
    HD is the New York Stock Exchange ticker symbol for The Home Depot, the largest home improvement retail chain in the United States.
  • B. HD chosen
    HD is the vehicle registration code used for the German city of Heidelberg.
  • C. HD
    HD is the standard astronomical abbreviation for the Henry Draper Catalogue, a widely used star catalog that assigns spectral classifications and identifiers to hundreds of thousands of stars.
  • D. HD
    HD is an inherited neurodegenerative disorder characterized by progressive motor dysfunction, cognitive decline, and psychiatric symptoms caused by a CAG repeat expansion in the huntingtin gene.
  • E. HD
    HD is a postcode area in the United Kingdom covering Huddersfield and its surrounding districts in West Yorkshire.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0d1fa1c8190b3374e0bb3a971fc completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:12 p.m.