Triple

T8365939
Position Surface form Disambiguated ID Type / Status
Subject Gegham Mountains E197125 entity
Predicate separates P1175 FINISHED
Object Ararat Plain E379343 NE FINISHED

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: Ararat Plain | Statement: [Gegham Mountains, separates, Ararat Plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ararat Plain
Context triple: [Gegham Mountains, separates, Ararat Plain]
  • A. Ararat plain chosen
    The Ararat plain is a fertile lowland region in the South Caucasus, lying around Mount Ararat and known as a major agricultural heartland of Armenia and adjacent areas.
  • B. Mughan plain
    The Mughan plain is a vast lowland region in the South Caucasus, spanning parts of present-day Azerbaijan and Iran, historically significant as a strategic and political gathering place.
  • C. Cilician plain
    The Cilician plain is a fertile lowland region in southeastern Turkey, historically significant as a crossroads between Anatolia and the Levant.
  • D. Konya Plain
    The Konya Plain is a vast, semi-arid agricultural basin in central Turkey known for its extensive grain production and significant groundwater-fed ecosystems.
  • E. Kayseri Plain
    The Kayseri Plain is a broad, fertile inland plain in central Turkey that forms the agricultural and settlement heartland around the city of Kayseri.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808bc22481909ce2f8b48cc95806 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d0a3ba481909a8c247c4c476104 completed April 2, 2026, 7:38 a.m.
Created at: March 30, 2026, 6 p.m.