Triple

T7082622
Position Surface form Disambiguated ID Type / Status
Subject Second Courtyard E164992 entity
Predicate locatedIn P40 FINISHED
Object Fatih district E131656 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: Fatih district | Statement: [Second Courtyard, locatedIn, Fatih district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fatih district
Context triple: [Second Courtyard, locatedIn, Fatih district]
  • A. Fatih district chosen
    Fatih district is a historic central district on Istanbul’s European side, encompassing many of the city’s most significant Byzantine and Ottoman landmarks.
  • B. Beyoğlu district
    Beyoğlu district is a historic and vibrant central area of Istanbul, Turkey, known for its cultural landmarks, nightlife, and cosmopolitan atmosphere.
  • C. Şişli district
    Şişli district is a central and densely populated area on Istanbul’s European side, known for its commercial centers, business districts, and historic neighborhoods.
  • D. Güzelbahçe district
    Güzelbahçe district is a coastal district of İzmir Province in western Turkey, known for its seaside location, residential character, and proximity to the city of İzmir.
  • E. Bayraklı district
    Bayraklı district is a coastal urban area of İzmir, Turkey, known for its modern business centers, high-rise buildings, and role as one of the city’s key commercial and residential hubs.
  • 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e50f133c81908c5f7336fd5bc5d2 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac7b53488190a00978e936b563ac completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 2:40 p.m.