Triple

T17161777
Position Surface form Disambiguated ID Type / Status
Subject Battle of Bamut E416497 entity
Predicate location P40 FINISHED
Object Achkhoy-Martanovsky District NE NERFINISHED

How this triple was built (3 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: Achkhoy-Martanovsky District | Statement: [Battle of Bamut, location, Achkhoy-Martanovsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Achkhoy-Martanovsky District
Context triple: [Battle of Bamut, location, Achkhoy-Martanovsky District]
  • A. Kharabalinsky District
    Kharabalinsky District is an administrative district (raion) in Astrakhan Oblast, Russia, for which the town of Kharabali serves as the administrative center.
  • B. Kuvshinovsky District
    Kuvshinovsky District is an administrative district in Tver Oblast, Russia, encompassing rural localities such as the village of Pryamukhino.
  • C. Aldansky District
    Aldansky District is an administrative district in the Sakha Republic (Yakutia), Russia, known for its vast territory, harsh climate, and significant mining and industrial activities centered around the town of Aldan.
  • D. Yasamal District
    Yasamal District is a central administrative district of Baku, Azerbaijan, known for its dense urban development, residential neighborhoods, and key cultural and educational institutions.
  • E. Leshukonsky District
    Leshukonsky District is a sparsely populated administrative district in Arkhangelsk Oblast, Russia, known for its remote northern location, taiga landscapes, and traditional rural settlements.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Achkhoy-Martanovsky District
Target entity description: Achkhoy-Martanovsky District is an administrative district in the Chechen Republic of Russia, known for being a site of intense fighting during the Chechen Wars.
  • A. Kharabalinsky District
    Kharabalinsky District is an administrative district (raion) in Astrakhan Oblast, Russia, for which the town of Kharabali serves as the administrative center.
  • B. Kuvshinovsky District
    Kuvshinovsky District is an administrative district in Tver Oblast, Russia, encompassing rural localities such as the village of Pryamukhino.
  • C. Aldansky District
    Aldansky District is an administrative district in the Sakha Republic (Yakutia), Russia, known for its vast territory, harsh climate, and significant mining and industrial activities centered around the town of Aldan.
  • D. Yasamal District
    Yasamal District is a central administrative district of Baku, Azerbaijan, known for its dense urban development, residential neighborhoods, and key cultural and educational institutions.
  • E. Leshukonsky District
    Leshukonsky District is a sparsely populated administrative district in Arkhangelsk Oblast, Russia, known for its remote northern location, taiga landscapes, and traditional rural settlements.
  • F. None of above. chosen

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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f91258648190a40396067ba5ecd3 completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 5:37 a.m.