Triple

T7637865
Position Surface form Disambiguated ID Type / Status
Subject Haliç E172925 entity
Predicate cityDistrictOnShore P77471 FINISHED
Object Eyüpsultan E662873 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: Eyüpsultan | Statement: [Haliç, cityDistrictOnShore, Eyüpsultan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eyüpsultan
Context triple: [Haliç, cityDistrictOnShore, Eyüpsultan]
  • A. Eyüpsultan chosen
    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.
  • B. Fatih
    Fatih is a common Turkish male given name, notably borne by the famous football manager Fatih Terim.
  • C. Eminönü
    Eminönü is a historic waterfront district in Istanbul known for its bustling ferry docks, spice and textile markets, and landmarks like the New Mosque and the Egyptian Bazaar.
  • D. Gaziosmanpaşa
    Gaziosmanpaşa is a densely populated residential and commercial district on the European side of Istanbul, known for its rapid urbanization and diverse working- and middle-class communities.
  • E. Dursunbey
    Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c701731a288190b53ffc546a2f47d7 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ac251308190a09814cc469d80fd completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:57 p.m.