Triple

T23349867
Position Surface form Disambiguated ID Type / Status
Subject Without Their Permission E591974 entity
Predicate mentionsOrganization P36517 FINISHED
Object Hipmunk 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: Hipmunk | Statement: [Without Their Permission, mentionsOrganization, Hipmunk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hipmunk
Context triple: [Without Their Permission, mentionsOrganization, Hipmunk]
  • A. OAG
    OAG is the independent office responsible for auditing and overseeing the financial operations and performance of Florida’s state agencies and related entities.
  • B. Orbitz chosen
    Orbitz is a major online travel agency that allows users to search for and book flights, hotels, rental cars, and vacation packages.
  • C. SKYTRAVEL
    SKYTRAVEL is the radio callsign used by Smartwings, a Czech low-cost airline operating scheduled and charter flights across Europe and beyond.
  • D. Flybondi
    Flybondi is an Argentine low-cost airline known for pioneering budget air travel within Argentina and operating domestic and regional routes from key hubs such as Buenos Aires.
  • 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 (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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a132da08190b30de610d34c96cc completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:19 p.m.