Triple

T6628835
Position Surface form Disambiguated ID Type / Status
Subject Health Education England E149869 entity
Predicate shortName P43 FINISHED
Object HEE E149869 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: HEE | Statement: [Health Education England, shortName, HEE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HEE
Context triple: [Health Education England, shortName, HEE]
  • A. HEE chosen
    HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
  • B. EH
    EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
  • C. HEL
    HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
  • D. EHTE
    EHTE is the ICAO airport code for Teuge Airport, a general aviation airfield in the Netherlands.
  • E. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa4a08481908cb5a554f388f32a completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44f5f9c819088cfb4fd87887766 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:59 p.m.