Triple

T19677246
Position Surface form Disambiguated ID Type / Status
Subject Jalal-Abad Region E472486 entity
Predicate hasBorderWith P224 FINISHED
Object Talas Region 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: Talas Region | Statement: [Jalal-Abad Region, hasBorderWith, Talas Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talas Region
Context triple: [Jalal-Abad Region, hasBorderWith, Talas Region]
  • A. Talas Region chosen
    Talas Region is an administrative region in northwestern Kyrgyzstan known for its mountainous landscapes, agriculture, and the historic Talas Valley.
  • B. Bahdinan region
    The Bahdinan region is a historical and cultural area in northern Iraqi Kurdistan traditionally associated with the Behdini-speaking Kurds.
  • C. Saran region
    The Saran region is a historical and administrative area in the Indian state of Bihar, known for its agrarian landscape and centered around the town of Chhapra.
  • D. Karas Region
    Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
  • E. Tashauz Region
    Tashauz Region was the former name of the Daşoguz administrative region in northern Turkmenistan, known for its location in the historical Khorezm area near the Uzbek border.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bceef881909c5b655af709c8c6 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.