Triple

T4195189
Position Surface form Disambiguated ID Type / Status
Subject Oosterdokseiland E89132 entity
Predicate hasLandmark P105 FINISHED
Object Booking.com headquarters E276906 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: Booking.com headquarters | Statement: [Oosterdokseiland, hasLandmark, Booking.com headquarters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Booking.com headquarters
Context triple: [Oosterdokseiland, hasLandmark, Booking.com headquarters]
  • A. Wotif Group
    Wotif Group is an online travel company best known for its hotel and accommodation booking platforms, particularly in the Australian and Asia-Pacific markets.
  • B. Booking.com chosen
    Booking.com is a major global online travel agency that allows users to search for and book accommodations such as hotels, apartments, and vacation rentals.
  • C. Priceline
    Priceline is a major online travel agency known for offering discounted rates on flights, hotels, rental cars, and vacation packages.
  • D. Rove Hotels
    Rove Hotels is a contemporary, budget-friendly hotel brand from Dubai known for its modern design, tech-savvy amenities, and focus on young, urban travelers.
  • E. NH Hotel Group
    NH Hotel Group is a multinational hotel chain headquartered in Spain, operating a wide portfolio of urban and business hotels across Europe and other regions.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af035e87148190a0f0bf48b813ffaa completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a0d7fa88190a2c830e298542068 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.