Triple

T19424754
Position Surface form Disambiguated ID Type / Status
Subject Shirvan E485952 entity
Predicate hasCity P316 FINISHED
Object Shamakhi 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: Shamakhi | Statement: [Shirvan, hasCity, Shamakhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shamakhi
Context triple: [Shirvan, hasCity, Shamakhi]
  • A. Shamakhi chosen
    Shamakhi is a historic city in Azerbaijan known for its long-standing Jewish community and cultural significance in the region.
  • B. Shamakhi Tat
    Shamakhi Tat is a regional variety of the Southern Tat language traditionally spoken by Tat communities in and around the city of Shamakhi in Azerbaijan.
  • C. Shirvan city
    Shirvan city is an urban center in Azerbaijan located in the central lowland region along the Kura River, known for its role in regional industry and transportation.
  • D. Khankendi
    Khankendi is a city in the Nagorno-Karabakh region of the South Caucasus, internationally recognized as part of Azerbaijan and also known by its Armenian name Stepanakert.
  • E. Shamkir
    Shamkir is a town in western Azerbaijan known as a regional center with historical significance and a growing agricultural and industrial economy.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63217bd2c81909e216e13aa4c487d completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.