Triple

T15806460
Position Surface form Disambiguated ID Type / Status
Subject Nazilli E383227 entity
Predicate hasNeighbouringDistrict P17964 FINISHED
Object Bozdoğan E1072019 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: Bozdoğan | Statement: [Nazilli, hasNeighbouringDistrict, Bozdoğan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bozdoğan
Context triple: [Nazilli, hasNeighbouringDistrict, Bozdoğan]
  • A. Bozdoğan chosen
    Bozdoğan is a rural district and town in western Turkey known for its agricultural production and location within Aydın Province.
  • B. Bozdoğan Kemeri
    Bozdoğan Kemeri is a late Roman aqueduct in Istanbul, Turkey, notable for its monumental arches and role in supplying water to the ancient city of Constantinople.
  • C. Ayvacık
    Ayvacık is a small town and district in Turkey’s Çanakkale Province, known for its traditional stone houses and proximity to the Aegean coast and ancient sites like Assos.
  • D. Ayvacık
    Ayvacık is a rural district and town in Turkey’s Black Sea region, located within Samsun Province and known for its natural landscapes and agricultural character.
  • E. Gazipaşa
    Gazipaşa is a coastal town and district in Antalya Province, southern Turkey, known for its Mediterranean beaches, agricultural production, and proximity to ancient ruins.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52751348190964e82463ce9dd20 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998fa5588190b28efc2f342405aa completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.