Triple

T9713594
Position Surface form Disambiguated ID Type / Status
Subject Volga trade route E235080 entity
Predicate connectsCity P4245 FINISHED
Object Derbent E25016 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: Derbent | Statement: [Volga trade route, connectsCity, Derbent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derbent
Context triple: [Volga trade route, connectsCity, Derbent]
  • A. Derbent chosen
    Derbent is an ancient fortified city in the Republic of Dagestan, Russia, strategically located on the Caspian Sea and known as one of the oldest continuously inhabited cities in the region.
  • B. Derbent
    Derbent is a small rural district and town in Turkey’s Konya Province, known for its highland landscapes and agricultural character.
  • C. Urgench
    Urgench is a city in western Uzbekistan that serves as the administrative center of Khorezm Region and a gateway to the historic city of Khiva.
  • D. Panjikent
    Panjikent was an important ancient Sogdian city in present-day Tajikistan, known for its well-preserved wall paintings and role as a Silk Road trading center.
  • E. Kizlyar
    Kizlyar is a town in the Republic of Dagestan, Russia, known historically as a frontier settlement and trading center in the North Caucasus region.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e087a1c8190aa62c910f88e8516 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f900ca08190a52f042feab2afa3 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.