Triple

T19694935
Position Surface form Disambiguated ID Type / Status
Subject The Luggage Store E472930 entity
Predicate hasTitle P38 FINISHED
Object The Luggage Store 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: The Luggage Store | Statement: [The Luggage Store, hasTitle, The Luggage Store]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Luggage Store
Context triple: [The Luggage Store, hasTitle, The Luggage Store]
  • A. The Luggage Store chosen
    "The Luggage Store" is a short story by Ray Bradbury set in his Martian Chronicles universe, exploring human reactions and preparations as tensions rise on Earth.
  • B. The Brink's Job
    The Brink's Job is a 1978 crime-comedy film dramatizing the infamous 1950 Brink's armored car robbery in Boston.
  • C. Fair Store
    Fair Store was a pioneering Chicago department store building designed by architect William Le Baron Jenney, often associated with the early development of skyscraper architecture.
  • D. The Bargain Store
    "The Bargain Store" is a 1975 country song by Dolly Parton, known for its metaphorical lyrics comparing a woman's emotional scars to discounted goods in a thrift shop.
  • E. The Cashier
    The Cashier is a novel by Canadian author Gabrielle Roy that portrays the quiet struggles and inner life of a low-paid store clerk in mid-20th-century Quebec.
  • 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_69e6421385e88190b22b12ab3d851dea completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.