Triple

T1803225
Position Surface form Disambiguated ID Type / Status
Subject MHA E39764 entity
Predicate abbreviation P43 FINISHED
Object MHA E39764 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: MHA | Statement: [MHA, abbreviation, MHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MHA
Context triple: [MHA, abbreviation, MHA]
  • A. MHA chosen
    MHA is the commonly used abbreviation for India’s Ministry of Home Affairs, the central government ministry responsible for internal security, domestic policy, and law and order.
  • B. HMA
    HMA is a European network of national medicines regulatory authorities that collaborates to ensure the quality, safety, and efficacy of medicinal products across member states.
  • C. Mihos
    Mihos is an ancient Egyptian lion-headed god associated with war and protection, venerated as a son of the feline goddess Bastet.
  • D. MUHA
    MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • E. Ministerraad
    De Ministerraad is het hoogste besluitvormende orgaan van de Nederlandse regering, bestaande uit alle ministers die gezamenlijk het regeringsbeleid bepalen.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa659535448190b60cb4b0ad2972b6 completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5dd01488190a96e0a8f3a77d524 completed March 8, 2026, 5:46 p.m.
Created at: March 4, 2026, 7:32 p.m.