Triple

T18643175
Position Surface form Disambiguated ID Type / Status
Subject About.com E455738 entity
Predicate successor P78 FINISHED
Object TripSavvy 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: TripSavvy | Statement: [About.com, successor, TripSavvy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TripSavvy
Context triple: [About.com, successor, TripSavvy]
  • A. TripSavvy chosen
    TripSavvy is a travel-focused online publication offering destination guides, tips, and advice for travelers.
  • B. Travelplan
    Travelplan is a Spanish tour operator and travel services company that forms part of the Globalia tourism and aviation group.
  • C. Hovertravel
    Hovertravel is a British ferry company best known for operating passenger hovercraft services between mainland England and the Isle of Wight.
  • D. 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.
  • E. Places API
    Places API is a Google Maps web service that provides detailed information about geographic locations, including place search, details, photos, and autocomplete functionality for applications.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500b6d7c8190b807b772980d913c completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.