Triple

T19690821
Position Surface form Disambiguated ID Type / Status
Subject Hampton Jitney E472827 entity
Predicate hasBrand P1500 FINISHED
Object Hampton Ambassador 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: Hampton Ambassador | Statement: [Hampton Jitney, hasBrand, Hampton Ambassador]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hampton Ambassador
Context triple: [Hampton Jitney, hasBrand, Hampton Ambassador]
  • A. Fairmont
    Fairmont is a small unincorporated community and census-designated place located in Will County, Illinois, United States.
  • B. Fairmont
    Fairmont is a global luxury hotel brand known for its historic landmark properties and upscale accommodations.
  • C. Fairmont
    Fairmont is a city in north-central West Virginia known historically for its role in the coal industry and as part of the greater Morgantown metropolitan area.
  • D. Hampton Luxury Liner chosen
    Hampton Luxury Liner is a private coach bus service that provides upscale intercity transportation between New York City and Long Island’s East End, including the Hamptons.
  • E. Boston Harbor Hotel
    Boston Harbor Hotel is a luxury waterfront hotel in Boston, Massachusetts, known for its iconic archway, harbor views, and prominent place on the city’s skyline.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6421013c4819095e80aadfe590102 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.