Triple

T16397514
Position Surface form Disambiguated ID Type / Status
Subject Maryland Port Administration E398221 entity
Predicate abbreviation P43 FINISHED
Object MPA E398221 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: MPA | Statement: [Maryland Port Administration, abbreviation, MPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPA
Context triple: [Maryland Port Administration, abbreviation, MPA]
  • A. MPA chosen
    MPA is the Maryland Port Administration, the state agency responsible for managing and promoting Maryland’s public port facilities, including the Port of Baltimore.
  • B. MPA
    MPA is the IATA airport code for Katima Mulilo Airport in Namibia, serving the town of Katima Mulilo near the Zambian border.
  • C. MPA
    MPA is the commonly used abbreviation for the Metropolitan Police Authority, the former body responsible for overseeing policing in Greater London (excluding the City of London).
  • D. MSPA
    MSPA is the commonly used acronym for the Migrant and Seasonal Agricultural Worker Protection Act, a U.S. federal law that sets labor standards and protections for migrant and seasonal farmworkers.
  • E. Master of Public Administration
    The Master of Public Administration is a graduate professional degree focused on developing leadership, management, and policy analysis skills for careers in public service and government.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cc5c9c8190ba1a70f9e430cefb completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357838a88190be88c51f454be6eb completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:09 a.m.