Triple

T6594692
Position Surface form Disambiguated ID Type / Status
Subject Salyan E148445 entity
Predicate governingBody P46 FINISHED
Object Salyan District authorities E460345 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: Salyan District authorities | Statement: [Salyan, governingBody, Salyan District authorities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salyan District authorities
Context triple: [Salyan, governingBody, Salyan District authorities]
  • A. Salyan District chosen
    Salyan District is an administrative region in Azerbaijan known for its agricultural activities and location along the Kura River in the country’s lowland area.
  • B. Dalane district
    Dalane district is a traditional region in southwestern Norway known for its rugged coastal landscape, rocky terrain, and small fjords.
  • C. Solan district
    Solan district is an administrative district in the Indian state of Himachal Pradesh, known for its hilly terrain, agricultural produce, and the town of Solan as its headquarters.
  • D. Kaira district
    Kaira district is the former name of Kheda district, an administrative region in the state of Gujarat, India, known historically for its role in the Indian independence movement.
  • E. Huli District
    Huli District is an urban district of Xiamen in Fujian Province, China, known for its role as a commercial and transportation hub including part of Xiamen Island and the city's airport.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aed0b364819081cb02af7a38ef11 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbbfb1fc8190b450c8c3536c50dd completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:55 p.m.