Triple

T18308376
Position Surface form Disambiguated ID Type / Status
Subject Kirovsky District E438549 entity
Predicate containsUrbanTypeSettlement P11388 FINISHED
Object Mga NE NERFINISHED

How this triple was built (3 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: Mga | Statement: [Kirovsky District, containsUrbanTypeSettlement, Mga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mga
Context triple: [Kirovsky District, containsUrbanTypeSettlement, Mga]
  • A. Mga chosen
    Mga is an urban-type settlement in Russia’s Leningrad Oblast, known primarily as a railway junction east of Saint Petersburg.
  • B. MGA
    MGA is a public university in Georgia, United States, offering a range of undergraduate and graduate programs across multiple campuses.
  • C. MGA
    MGA is the IATA airport code for Augusto C. Sandino International Airport, the main international gateway serving Managua, Nicaragua.
  • D. MGA
    MGA is the official ISO 4217 currency code for the Malagasy ariary, the national currency of Madagascar.
  • E. MGA
    MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsUrbanTypeSettlement
Context triple: [Kirovsky District, containsUrbanTypeSettlement, Mga]
  • A. isUrbanSettlementIn
    Indicates that an urban settlement (such as a city or town) is located within a specified larger geographic or administrative area.
  • B. containsUrbanArea chosen
    Indicates that a geographic region fully or partially encompasses an urbanized area within its boundaries.
  • C. containsUrbanForm
    Indicates that one entity spatially includes or encompasses an urban form or built-up area within its extent.
  • D. isUrbanAreaOfType
    Indicates that a given area is classified as belonging to a specific type or category of urban area (e.g., city, town, suburb).
  • E. hasCityStatusSettlement
    Indicates that a settlement possesses official recognition or designation as a city.
  • F. None of above.

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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50215e0c48190a4679d432b6ee596 completed April 19, 2026, 4:25 p.m.
PD Predicate disambiguation batch_69e44fdf43d08190bbcfb6b1fe3cc0ee completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:35 a.m.