Triple

T22658383
Position Surface form Disambiguated ID Type / Status
Subject Phanar Greek Orthodox High School E559292 entity
Predicate district P2709 FINISHED
Object Fatih 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: Fatih | Statement: [Phanar Greek Orthodox High School, district, Fatih]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fatih
Context triple: [Phanar Greek Orthodox High School, district, Fatih]
  • A. Fatih
    Fatih is a common Turkish male given name, notably borne by the famous football manager Fatih Terim.
  • B. Fatih, Istanbul chosen
    Fatih is a historic central district of Istanbul known for its dense concentration of Ottoman-era architecture, religious institutions, and educational establishments.
  • C. Eyüpsultan
    Eyüpsultan is a historic district on the European side of Istanbul, renowned for its important Islamic sites, including the Eyüp Sultan Mosque and its adjacent cemetery.
  • D. Mustafakemalpaşa
    Mustafakemalpaşa is a town and district in northwestern Turkey known for its agricultural production and historical connection to Mustafa Kemal Atatürk.
  • E. Nazilli
    Nazilli is a town and district in Turkey’s Aydın Province, known for its agricultural production and location in the fertile Büyük Menderes River valley.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765d10588190b4574f3e64617cd4 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:07 p.m.