Triple

T20248713
Position Surface form Disambiguated ID Type / Status
Subject Eli E498491 entity
Predicate ratingSystem P16816 FINISHED
Object MPA 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: MPA | Statement: [Eli, ratingSystem, MPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPA
Context triple: [Eli, ratingSystem, MPA]
  • A. MPA
    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 commonly used abbreviation for the Metropolitan Police Authority, the former body responsible for overseeing policing in Greater London (excluding the City of London).
  • C. MPA
    MPA is the IATA airport code for Katima Mulilo Airport in Namibia, serving the town of Katima Mulilo near the Zambian border.
  • 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 chosen
    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 (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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a5ce4081908dff86ed4c613fd6 completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:41 p.m.