Triple

T20804741
Position Surface form Disambiguated ID Type / Status
Subject Military Health System E512126 entity
Predicate abbreviation P43 FINISHED
Object MHS 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: MHS | Statement: [Military Health System, abbreviation, MHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MHS
Context triple: [Military Health System, abbreviation, MHS]
  • A. MHS chosen
    MHS is the acronym for the U.S. Military Health System, the organization that provides healthcare services to active-duty service members, retirees, and their families.
  • B. MHS
    MHS is the National Rail station code for Meadowhall railway station in Sheffield, South Yorkshire, England.
  • C. MSH
    MSH is the vehicle registration code for the Mansfeld-Südharz district in the German state of Saxony-Anhalt.
  • D. MHSC
    MHSC is the commonly used abbreviation for Montpellier Hérault Sport Club, a French professional football club based in Montpellier.
  • E. MSHSL
    MSHSL is the governing body that oversees and regulates high school sports and fine arts activities for member schools in Minnesota.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2ce6420819091792ffaa3c46c53 completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.