Triple

T11978407
Position Surface form Disambiguated ID Type / Status
Subject Western Anatolia E285093 entity
Predicate hasMajorCity P316 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: [Western Anatolia, hasMajorCity, Muğla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muğla
Context triple: [Western Anatolia, hasMajorCity, 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. Marmaris
    Marmaris is a popular Turkish coastal resort city known for its beaches, marinas, and vibrant nightlife along the Mediterranean.
  • C. Alanya
    Alanya is a popular Mediterranean resort city in southern Turkey, known for its beaches, historic castle, and role as a major tourism hub.
  • D. 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.
  • E. Mugla
    Mugla is the Slovene name for Muggia, a coastal town in northeastern Italy near Trieste.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90393cfb08190b5b45d3e5e32fad3 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471f6afc48190856a0f7c486b28aa completed May 1, 2026, 9:27 a.m.
Created at: April 8, 2026, 9:46 p.m.