Triple

T15792963
Position Surface form Disambiguated ID Type / Status
Subject Ganja City Executive Power E382904 entity
Predicate jurisdiction P82 FINISHED
Object City of Ganja E1177605 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: City of Ganja | Statement: [Ganja City Executive Power, jurisdiction, City of Ganja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Ganja
Context triple: [Ganja City Executive Power, jurisdiction, City of Ganja]
  • A. city of Ganja chosen
    The city of Ganja is one of Azerbaijan’s largest and oldest urban centers, known for its historical significance, cultural heritage, and role as a regional economic hub.
  • B. Shamakhi
    Shamakhi is a historic city in Azerbaijan known for its long-standing Jewish community and cultural significance in the region.
  • C. 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.
  • D. Zaqatala city
    Zaqatala city is an administrative and economic center in northwestern Azerbaijan, known for its multicultural population and proximity to the Caucasus Mountains.
  • E. Leninabad
    Leninabad was the Soviet-era name of the city now known as Khujand, a major historical and industrial center in northern Tajikistan.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4da381c819086195e3d20591abf completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998981088190b9ce9d99c0481e21 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.