Triple

T18038814
Position Surface form Disambiguated ID Type / Status
Subject Meraas E431583 entity
Predicate hasBrand P1500 FINISHED
Object Meraas Destinations NE NERFINISHED

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: Meraas Destinations | Statement: [Meraas, hasBrand, Meraas Destinations]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meraas Destinations
Context triple: [Meraas, hasBrand, Meraas Destinations]
  • A. Meraas chosen
    Meraas is a Dubai-based property and investment company known for developing large-scale urban, leisure, and waterfront destinations across the city.
  • B. Nakheel Properties
    Nakheel Properties is a major Dubai-based real estate developer best known for creating iconic large-scale projects such as the Palm Jumeirah artificial island.
  • C. DAMAC Properties
    DAMAC Properties is a Dubai-based luxury real estate developer known for high-end residential, commercial, and hospitality projects across the Middle East and beyond.
  • D. Jumeirah
    Jumeirah is an upscale coastal district in Dubai known for its luxury hotels, residential areas, and popular public beaches along the Persian Gulf.
  • E. Alila Hotels and Resorts
    Alila Hotels and Resorts is a luxury boutique hotel and resort brand known for its design-led properties, immersive local experiences, and strong focus on sustainability and wellness.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be3cbe8c8190ba216eeebfc3cbec completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.