Triple

T7637916
Position Surface form Disambiguated ID Type / Status
Subject Altın Boynuz E172926 entity
Predicate locatedNear P294 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: [Altın Boynuz, locatedNear, Galata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galata
Context triple: [Altın Boynuz, locatedNear, 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. Nişantaşı
    Nişantaşı is an upscale neighborhood in Istanbul known for its luxury shopping streets, stylish cafes, and elegant residential buildings.
  • 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_69c6fac953e08190a2f50bf783c49faf completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870c7b2bc8190948bc2904b278062 completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:57 p.m.