Triple

T18852809
Position Surface form Disambiguated ID Type / Status
Subject Saleph River E461086 entity
Predicate partOf P40 FINISHED
Object Cilician 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: Cilician plain | Statement: [Saleph River, partOf, Cilician plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cilician plain
Context triple: [Saleph River, partOf, Cilician plain]
  • A. Cilician plain chosen
    The Cilician plain is a fertile lowland region in southeastern Turkey, historically significant as a crossroads between Anatolia and the Levant.
  • 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. 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.
  • 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. Göksu Plain
    Göksu Plain is a fertile alluvial lowland in southern Turkey known for its intensive agriculture and ecological importance along the lower course of the Göksu River.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05a8a708190b9b2b8f95b2f1d23 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:56 a.m.