Triple

T5927186
Position Surface form Disambiguated ID Type / Status
Subject Georgensgmünd E131841 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object RH E457822 NE FINISHED

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: RH | Statement: [Georgensgmünd, vehicleRegistrationCode, RH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RH
Context triple: [Georgensgmünd, vehicleRegistrationCode, RH]
  • A. RH chosen
    RH is a postcode area in the United Kingdom covering parts of Surrey and West Sussex, including towns such as Redhill, Crawley, and Horsham.
  • B. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • C. RAH
    RAH is the abbreviation for the Real Academia de la Historia, Spain’s national institution dedicated to the research, preservation, and promotion of the country’s historical heritage.
  • D. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • E. RHT
    RHT is the former stock ticker symbol for Red Hat, a leading open-source software company best known for its enterprise Linux operating system and related technologies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0385592b48190a885efb9549d88c7 completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c05460c481908f3efde19e3ffa2a completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.