Triple

T19120102
Position Surface form Disambiguated ID Type / Status
Subject Nišava District E468018 entity
Predicate containsMunicipality P852 FINISHED
Object Merošina 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: Merošina | Statement: [Nišava District, containsMunicipality, Merošina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merošina
Context triple: [Nišava District, containsMunicipality, Merošina]
  • A. Merošina chosen
    Merošina is a small municipality and village in southern Serbia known for its rural character and agricultural surroundings.
  • B. Dansili
    Dansili was a top-class British Thoroughbred racehorse who became an elite international sire, known for producing numerous Group 1 winners on turf.
  • C. Melsisi
    Melsisi is a coastal village and mission station on Pentecost Island in Vanuatu, known for its Catholic mission, school, and local health services.
  • D. Tehuti
    Tehuti is an alternative name for Thoth, the ancient Egyptian god of wisdom, writing, and knowledge.
  • E. Mebane
    Mebane is a surname of likely Scottish or Irish origin that has been borne by various notable individuals, including American politician Alexander Mebane.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c810808190a88d5c7859e7c650 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.