Triple

T12871302
Position Surface form Disambiguated ID Type / Status
Subject Mandarin Oriental Hotel Group E307854 entity
Predicate operatesInCity P3207 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: [Mandarin Oriental Hotel Group, operatesInCity, Bodrum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bodrum
Context triple: [Mandarin Oriental Hotel Group, operatesInCity, 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970905784819091631161a9de98c5 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb4b28c8190a4ec9cad4e1e0f05 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.