Triple

T13361278
Position Surface form Disambiguated ID Type / Status
Subject Karabakh region (broad sense) E318822 entity
Predicate majorCity P316 FINISHED
Object Shusha E85623 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: Shusha | Statement: [Karabakh region (broad sense), majorCity, Shusha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shusha
Context triple: [Karabakh region (broad sense), majorCity, Shusha]
  • A. Jabrayil
    Jabrayil is a town in southwestern Azerbaijan that became a key strategic location and symbol of territorial gains during the 2020 Nagorno-Karabakh war.
  • B. Stepanakert
    Stepanakert is the largest city and administrative center of the disputed Nagorno-Karabakh region in the South Caucasus.
  • C. Shusha uezd chosen
    Shusha uezd was an administrative district of the Russian Empire’s Elisavetpol Governorate, centered on the historically significant city of Shusha in the South Caucasus.
  • D. Zangezur
    Zangezur is a mountainous historical region in the South Caucasus, largely corresponding to today’s Syunik Province in southern Armenia and parts of neighboring territories.
  • E. Balakan
    Balakan is a town and district center in northwestern Azerbaijan, near the border with Georgia and Russia, known for its mountainous landscapes and agricultural production.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da6289edf4819099b21cfbb668e923 completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8322ac8190a9830d9ca92f455f completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:32 p.m.