Triple

T16376541
Position Surface form Disambiguated ID Type / Status
Subject Didim E397692 entity
Predicate locatedNorthOf P305 FINISHED
Object Bodrum E416980 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: Bodrum | Statement: [Didim, locatedNorthOf, Bodrum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bodrum
Context triple: [Didim, locatedNorthOf, Bodrum]
  • A. Bodrum chosen
    Bodrum is a popular coastal city and resort town in southwestern Turkey, known for its beaches, nightlife, and historic landmarks such as Bodrum Castle.
  • B. Marmaris
    Marmaris is a popular Turkish coastal resort city known for its beaches, marinas, and vibrant nightlife along the Mediterranean.
  • C. Kemer
    Kemer is a popular seaside resort town on Turkey’s Mediterranean coast, known for its beaches, marinas, and proximity to the Taurus Mountains.
  • 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. 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.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d8a40c8190af37e7ed60b9c4dd completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00580fec0c8190b7fb73dbc637fb61 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:08 a.m.