Triple

T21830000
Position Surface form Disambiguated ID Type / Status
Subject Masally District E538965 entity
Predicate border P224 FINISHED
Object Jalilabad District 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: Jalilabad District | Statement: [Masally District, border, Jalilabad District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jalilabad District
Context triple: [Masally District, border, Jalilabad District]
  • A. Jalilabad District chosen
    Jalilabad District is an administrative region in southern Azerbaijan known for its agricultural economy and location near the Iranian border.
  • B. Jaffarabad District
    Jaffarabad District is an administrative district in the Balochistan province of Pakistan, known for its agricultural economy and location in the eastern part of the province near the Sindh border.
  • C. Jalalaqsi District
    Jalalaqsi District is an administrative district in central Somalia, located within the Hiran (Hiiraan) region.
  • D. Khan Abad District
    Khan Abad District is an administrative district in northeastern Afghanistan known for its agricultural communities and location within Kunduz Province.
  • E. Mirzaka District
    Mirzaka District is an administrative district located within Paktia Province in eastern Afghanistan.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0913554508190b81347f01d3903e8 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.