Triple

T1268429
Position Surface form Disambiguated ID Type / Status
Subject Reading Company E15654 entity
Predicate operated P1688 FINISHED
Object Reading Terminal E29241 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: Reading Terminal | Statement: [Reading Company, operated, Reading Terminal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reading Terminal
Context triple: [Reading Company, operated, Reading Terminal]
  • A. Reading Terminal complex chosen
    The Reading Terminal complex is a historic Philadelphia landmark that originally combined a major railroad terminal with the bustling indoor Reading Terminal Market beneath it.
  • B. Moran Terminal
    Moran Terminal is a major cargo and container shipping facility within the Port of Boston, serving as a key hub for maritime trade in the New England region.
  • C. The Station
    The Station is a painting by British artist L. S. Lowry, known for its distinctive depiction of industrial urban life with stylized figures and stark architectural forms.
  • D. Grand Central
    Grand Central is a British open-access train operating company providing long-distance passenger rail services between London and the North of England.
  • E. Main Terminal Station
    Main Terminal Station is the primary AeroTrain stop serving the airport’s central passenger terminal complex.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c0396e048190b4e2d7aab19268b3 completed March 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac99898bdc8190bbbe28083b4a548b completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:50 p.m.