Triple

T11651173
Position Surface form Disambiguated ID Type / Status
Subject Booking.com E276906 entity
Predicate formerName P65 FINISHED
Object Bookings.nl 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: Bookings.nl | Statement: [Booking.com, formerName, Bookings.nl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bookings.nl
Context triple: [Booking.com, formerName, Bookings.nl]
  • A. 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.
  • B. trivago
    trivago is a global hotel and accommodation metasearch platform that compares prices from numerous booking sites to help users find and book lodging deals.
  • C. easyHotel
    easyHotel is a UK-based budget hotel chain offering no-frills, low-cost accommodation, primarily in city-center locations across Europe and beyond.
  • D. Jet2holidays
    Jet2holidays is a UK-based package holiday provider offering flights, accommodation, and transfers to popular leisure destinations, primarily served by its sister airline Jet2.com.
  • E. Lastminute.com
    Lastminute.com is a British online travel and leisure retailer best known for offering discounted last-minute deals on flights, hotels, and experiences.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cea9308190a13f7dd995ea07a4 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee8805a91081909ff29b3357e351ee completed April 26, 2026, 9:47 p.m.
Created at: April 8, 2026, 9:39 p.m.