Triple

T21830002
Position Surface form Disambiguated ID Type / Status
Subject Masally District E538965 entity
Predicate border P224 FINISHED
Object Astara 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: Astara District | Statement: [Masally District, border, Astara District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Astara District
Context triple: [Masally District, border, Astara District]
  • A. Astara District chosen
    Astara District is an administrative region in southeastern Azerbaijan, located along the Caspian Sea and bordering Iran.
  • B. Goygol District
    Goygol District is an administrative region in western Azerbaijan known for its picturesque Lake Goygol and surrounding mountainous landscapes.
  • C. Gazakh District
    Gazakh District is an administrative region in western Azerbaijan known for its strategic location near the borders with Georgia and Armenia and its role as a historical and cultural center.
  • D. Murzuq District
    Murzuq District is an administrative region in southwestern Libya known for its vast Sahara Desert landscapes and sparse population.
  • E. Khazar District
    Khazar District is an administrative district of Baku, Azerbaijan, located on the Absheron Peninsula along the Caspian Sea coast.
  • 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.