Triple

T20686397
Position Surface form Disambiguated ID Type / Status
Subject DHGE E508429 entity
Predicate hasAbbreviation P43 FINISHED
Object DHGE 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: DHGE | Statement: [DHGE, hasAbbreviation, DHGE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DHGE
Context triple: [DHGE, hasAbbreviation, DHGE]
  • A. DHGE chosen
    DHGE is a German cooperative state university based in Gera and Eisenach that offers practice-oriented dual study programs in collaboration with industry partners.
  • B. DGE
    DGE is the London Stock Exchange ticker symbol for Diageo, a major global producer of alcoholic beverages including brands like Johnnie Walker and Guinness.
  • C. DGE
    DGE is the IATA airport code for Mudgee Airport in New South Wales, Australia.
  • D. DHE
    DHE is the Massachusetts state agency responsible for coordinating and overseeing public higher education institutions and policies.
  • E. DGHR
    DGHR is the abbreviation for the Director General of the Foreign Service, the senior U.S. State Department official responsible for managing the Foreign Service’s personnel and human resources.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beacc30081908e57cd7f2c3ef047 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.