Triple

T4208438
Position Surface form Disambiguated ID Type / Status
Subject Premium Economy E93837 entity
Predicate alsoCalled P39 FINISHED
Object Economy Plus E47891 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: Economy Plus | Statement: [Premium Economy, alsoCalled, Economy Plus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Economy Plus
Context triple: [Premium Economy, alsoCalled, Economy Plus]
  • A. Economy Plus chosen
    Economy Plus is United Airlines’ extra-legroom economy seating option that offers more space and enhanced comfort compared to standard economy seats.
  • B. Premium Economy
    Premium Economy is an airline cabin class that offers more comfort, space, and amenities than standard economy while remaining less expensive and exclusive than business class.
  • C. United Economy Plus
    United Economy Plus is United Airlines’ extra-legroom economy cabin offering enhanced comfort and preferred seating ahead of standard economy.
  • D. Double First Class Plan
    The Double First Class Plan is a Chinese government initiative aimed at developing a group of world-class universities and academic disciplines to enhance the country’s global higher education competitiveness.
  • E. Pluss
    Pluss is a music producer known for crafting beats and collaborating with various artists in contemporary hip-hop and related genres.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3480e2aa08190a0b24df3b0e4b272 completed March 12, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5962bb63c81909e28a958323edb82 completed March 14, 2026, 5:08 p.m.
Created at: March 12, 2026, 11:03 p.m.