Triple

T13411546
Position Surface form Disambiguated ID Type / Status
Subject Muş E320098 entity
Predicate roadConnection P385 FINISHED
Object Bitlis E591200 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: Bitlis | Statement: [Muş, roadConnection, Bitlis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bitlis
Context triple: [Muş, roadConnection, Bitlis]
  • A. Bitlis chosen
    Bitlis is a historic city in eastern Turkey known for its dramatic mountainous setting, medieval stone architecture, and strategic location along ancient trade routes.
  • B. Hakkâri
    Hakkâri is a mountainous city in southeastern Turkey near the borders with Iraq and Iran, known for its rugged terrain and predominantly Kurdish population.
  • C. Muş
    Muş is a city in eastern Turkey known for its historical significance, traditional Kurdish and Turkish culture, and surrounding mountainous landscapes.
  • D. Sivas
    Sivas is a historic city in central Turkey that served as an important political, commercial, and cultural center in Anatolia, especially during the Seljuk and Ottoman periods.
  • E. Kilis
    Kilis is a small Turkish city near the Syrian border known for its strategic location, cross-border trade, and distinctive regional cuisine.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb3facc819088c1af3b59237e7a completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec869957481909ea4fded01851b70 completed May 9, 2026, 5:38 a.m.
Created at: April 9, 2026, 9:35 p.m.