Triple

T6964193
Position Surface form Disambiguated ID Type / Status
Subject Beyoğlu E161445 entity
Predicate historicalName P65 FINISHED
Object Galata E447358 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: Galata | Statement: [Beyoğlu, historicalName, Galata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galata
Context triple: [Beyoğlu, historicalName, Galata]
  • A. Galata, Istanbul chosen
    Galata, Istanbul is a historic waterfront district on the northern shore of the Golden Horn, known for its Genoese-era tower, commercial heritage, and role as a financial and cultural hub of the city.
  • B. 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.
  • C. Ortahisar
    Ortahisar is a town in Turkey’s Cappadocia region, known for its towering rock castle, cave dwellings, and traditional stone architecture.
  • D. Galata Tower
    Galata Tower is a historic medieval stone tower in Istanbul, Turkey, renowned for its panoramic views over the city and the Bosphorus.
  • E. Brusa Bezistan
    Brusa Bezistan is a historic covered market building in Sarajevo’s old bazaar area, known for its Ottoman-era architecture and traditional trading stalls.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daf2b7bc8190a3e73f3b24f0352b completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761908564819084505f0ab1122a9c completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.