Triple

T3842551
Position Surface form Disambiguated ID Type / Status
Subject İlhan Berk E93485 entity
Predicate placeOfDeath P21 FINISHED
Object Muğla E321290 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: Muğla | Statement: [İlhan Berk, placeOfDeath, Muğla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muğla
Context triple: [İlhan Berk, placeOfDeath, Muğla]
  • A. Muğla Province chosen
    Muğla Province is a southwestern Turkish region along the Aegean and Mediterranean coasts, known for major resort towns like Bodrum, Marmaris, and Fethiye and its rich ancient Carian heritage.
  • B. Denizli
    Denizli is a major industrial and commercial city in western Turkey, known for its textile production and proximity to the famous Pamukkale travertine terraces.
  • C. Antalya
    Antalya is a major resort city on Turkey’s Mediterranean coast, known for its beaches, historic old town, and role as a gateway to the Turkish Riviera.
  • D. Gazipaşa
    Gazipaşa is a coastal town and district in Antalya Province, southern Turkey, known for its Mediterranean beaches, agricultural production, and proximity to ancient ruins.
  • E. Bodrum
    Bodrum is a popular coastal city and resort town in southwestern Turkey, known for its beaches, nightlife, and historic landmarks such as Bodrum Castle.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb397ac81908f74a42a0eeb8682 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589bcbce88190b97b9dcec8a976f4 completed March 14, 2026, 4:15 p.m.
Created at: March 9, 2026, 3:18 p.m.