Triple

T7302246
Position Surface form Disambiguated ID Type / Status
Subject Karaköy E167885 entity
Predicate locatedIn P40 FINISHED
Object Beyoğlu district E161445 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: Beyoğlu district | Statement: [Karaköy, locatedIn, Beyoğlu district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beyoğlu district
Context triple: [Karaköy, locatedIn, Beyoğlu district]
  • A. Beyoğlu district chosen
    Beyoğlu district is a historic and vibrant central area of Istanbul, Turkey, known for its cultural landmarks, nightlife, and cosmopolitan atmosphere.
  • B. Fatih district
    Fatih district is a historic central district on Istanbul’s European side, encompassing many of the city’s most significant Byzantine and Ottoman landmarks.
  • 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. Bakırköy district
    Bakırköy district is a populous residential and commercial district on Istanbul’s European side, known for its coastal location along the Sea of Marmara and major shopping and transport hubs.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb09164819099c4479d48c1688a completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c93fa2550481908348b8b4dd23d6df completed March 29, 2026, 3:05 p.m.
Created at: March 27, 2026, 3:01 p.m.