Triple

T17548907
Position Surface form Disambiguated ID Type / Status
Subject Marka International Airport E427401 entity
Predicate locatedNear P294 FINISHED
Object Marka district 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: Marka district | Statement: [Marka International Airport, locatedNear, Marka district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marka district
Context triple: [Marka International Airport, locatedNear, Marka district]
  • A. Marka district chosen
    Marka district is a residential and commercial area in eastern Amman, Jordan, known for its mix of urban neighborhoods and proximity to key transport and industrial hubs.
  • B. Zizenia district
    Zizenia district is an upscale neighborhood in Alexandria, Egypt, known for its historic architecture and cultural landmarks.
  • C. Rezina District
    Rezina District is an administrative region in eastern Moldova known for its location along the Răut River and its mix of rural communities and historical sites.
  • D. Anra District
    Anra District is an administrative district located within Huari Province in the Ancash Region of Peru.
  • E. Horki District
    Horki District is an administrative district in the Mogilev Region of eastern Belarus, known for its agricultural activities and the town of Horki as its administrative center.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454631e148190a1d46a6ecb79c71a completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.