Triple

T21167511
Position Surface form Disambiguated ID Type / Status
Subject Diyarbakır Province E521605 entity
Predicate contains P35 FINISHED
Object Sur 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: Sur District | Statement: [Diyarbakır Province, contains, Sur District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sur District
Context triple: [Diyarbakır Province, contains, Sur District]
  • A. Sur district chosen
    Sur district is the historic central district of Diyarbakır, Turkey, known for its ancient city walls and densely built old city.
  • B. Van Aken District
    Van Aken District is a mixed-use urban hub in Shaker Heights, Ohio, featuring shops, restaurants, offices, and residential spaces centered around the city’s historic transit corridor.
  • C. Viques District
    Viques District is an administrative district located within Huancayo Province in Peru’s central highlands.
  • D. Dir District
    Dir District is an administrative district in Pakistan’s Khyber Pakhtunkhwa province, historically known for its mountainous terrain and strategic location near the Afghan border.
  • E. Leuk District
    Leuk District is an administrative district in the canton of Valais in southwestern Switzerland, encompassing several municipalities including the alpine resort area around Leukerbad.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7270fce708190a5715b55b406dd4e completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.