Triple

T18593549
Position Surface form Disambiguated ID Type / Status
Subject Ahmed Ağaoğlu E454430 entity
Predicate birthPlace P1 FINISHED
Object Shusha 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: Shusha | Statement: [Ahmed Ağaoğlu, birthPlace, Shusha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shusha
Context triple: [Ahmed Ağaoğlu, birthPlace, Shusha]
  • A. Shusha chosen
    Shusha is a historically significant city in the Nagorno-Karabakh region, known for its cultural heritage and strategic location in the South Caucasus.
  • B. 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.
  • C. Shusha fortress
    Shusha fortress is a historic 18th-century stronghold in the city of Shusha, strategically located in the Karabakh region and known for its significant military and cultural role in the South Caucasus.
  • D. Stepanakert
    Stepanakert is the largest city and administrative center of the disputed Nagorno-Karabakh region in the South Caucasus.
  • E. Shusha uezd
    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.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b7ce3881908302ee27a2cf80d6 completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.