Triple

T22722912
Position Surface form Disambiguated ID Type / Status
Subject MHH E561912 entity
Predicate abbreviation P43 FINISHED
Object MHH 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: MHH | Statement: [MHH, abbreviation, MHH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MHH
Context triple: [MHH, abbreviation, MHH]
  • A. MHH chosen
    MHH is the commonly used abbreviation for Hannover Medical School, a major medical university and research institution in Hanover, Germany.
  • B. HHR
    HHR is the IATA airport code for Hawthorne Municipal Airport, a public airport serving the city of Hawthorne in Los Angeles County, California.
  • C. HHM
    HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • D. MHR
    MHR is the three-letter IATA airport code for Mather Airport, a public airport serving the Sacramento, California area.
  • E. MHR
    MHR is a professional French rugby union club based in Montpellier that competes in the country’s top domestic league.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17927e0348190a4dba430563ef155 completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:20 p.m.