Triple

T23073548
Position Surface form Disambiguated ID Type / Status
Subject People's Assembly of the Republic of Ingushetia E575261 entity
Predicate locatedIn P40 FINISHED
Object Magas 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: Magas | Statement: [People's Assembly of the Republic of Ingushetia, locatedIn, Magas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magas
Context triple: [People's Assembly of the Republic of Ingushetia, locatedIn, Magas]
  • A. Magas chosen
    Magas is the planned modern capital city of the Republic of Ingushetia in the North Caucasus region of Russia.
  • B. Magarmach
    Magarmach is the fearsome nickname given to the Indian Navy’s elite Marine Commandos (MARCOS), reflecting their stealth, strength, and effectiveness in maritime special operations.
  • C. Maghas
    Maghas is the medieval capital city of the Alans, a historical people of the North Caucasus region.
  • D. Marag
    Marag is a dialect of the Isnag language spoken by the Isnag people in the northern Philippines.
  • E. Mota
    Mota is an Oceanic language of northern Vanuatu, historically notable as a regional lingua franca and early mission language in the area.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c60fa6c81908496f181c7d62033 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.