Triple

T8862351
Position Surface form Disambiguated ID Type / Status
Subject Leonard M. Thompson International Airport E210921 entity
Predicate IATAcode P418 FINISHED
Object MHH E561912 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: MHH | Statement: [Leonard M. Thompson International Airport, IATAcode, MHH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MHH
Context triple: [Leonard M. Thompson International Airport, IATAcode, 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. HHM
    HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • C. MCDHH
    MCDHH is the state agency in Massachusetts responsible for providing services, advocacy, and resources for deaf and hard of hearing individuals.
  • D. MHT
    MHT is the IATA airport code for Manchester–Boston Regional Airport, a commercial airport serving the Manchester, New Hampshire area and the greater Boston region.
  • E. MHTG
    MHTG is the ICAO airport code for Toncontín International Airport, a major airport serving Tegucigalpa, Honduras.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610263048190931bb2c3ac573a08 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0c248108190815d593f44029183 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:50 p.m.