Triple

T3276534
Position Surface form Disambiguated ID Type / Status
Subject Taurus Mountains E68770 entity
Predicate sourceOfRiver P25636 FINISHED
Object Ceyhan River E345639 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: Ceyhan River | Statement: [Taurus Mountains, sourceOfRiver, Ceyhan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ceyhan River
Context triple: [Taurus Mountains, sourceOfRiver, Ceyhan River]
  • A. Göksu River
    The Göksu River is a significant waterway in southern Turkey that flows from the Taurus Mountains to the Mediterranean Sea, known for its rich biodiversity and fertile surrounding plains.
  • B. Tarsus River
    The Tarsus River is a waterway in southern Turkey that flows through the historic city of Tarsus before reaching the Mediterranean Sea.
  • C. Gediz River
    The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
  • D. Seyhan River chosen
    The Seyhan River is a major river in southern Turkey that flows through the city of Adana before emptying into the Mediterranean Sea.
  • E. Sakarya River
    The Sakarya River is one of Turkey’s longest rivers, flowing northward through western Anatolia into the Black Sea and historically serving as an important geographic and cultural landmark.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0128f08819084644f3c8fda2596 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33419707881908535eadd65500bee completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:10 p.m.