Triple

T18934483
Position Surface form Disambiguated ID Type / Status
Subject Cihanbeyli E463205 entity
Predicate locatedOn P40 FINISHED
Object Konya Plain 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: Konya Plain | Statement: [Cihanbeyli, locatedOn, Konya Plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konya Plain
Context triple: [Cihanbeyli, locatedOn, Konya Plain]
  • A. Konya Plain chosen
    The Konya Plain is a vast, semi-arid agricultural basin in central Turkey known for its extensive grain production and significant groundwater-fed ecosystems.
  • B. Sakarya Plain
    The Sakarya Plain is a fertile lowland region in northwestern Turkey known for its agriculture and its location along the middle course of the Sakarya River.
  • C. 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.
  • D. Aksaray plain
    Aksaray plain is a broad agricultural lowland in central Turkey, lying at the foot of Mount Hasan and forming part of the Central Anatolian plateau.
  • E. Bursa plain
    The Bursa plain is a fertile lowland region in northwestern Turkey, surrounding the city of Bursa and lying at the foot of Uludağ Mountain.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3e57e648190aa4d3b09e84d4d38 completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.