Triple

T3625373
Position Surface form Disambiguated ID Type / Status
Subject LIRR Babylon Branch E76825 entity
Predicate endPoint P390 FINISHED
Object Babylon station E123893 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: Babylon station | Statement: [LIRR Babylon Branch, endPoint, Babylon station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babylon station
Context triple: [LIRR Babylon Branch, endPoint, Babylon station]
  • A. Babylon station chosen
    Babylon station is a major Long Island Rail Road hub in Babylon, New York, serving as a key transfer point for commuters traveling between eastern Long Island and New York City.
  • B. 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.
  • C. Central Station
    Central Station is a 1998 Brazilian drama film by Walter Salles that follows the emotional journey of a retired schoolteacher and a young boy traveling across Brazil in search of his father.
  • D. Central Station
    Central Station is a key light rail stop on the METRO Green Line serving as an important transit hub in its area.
  • E. Terminal B Station
    Terminal B Station is an AirTrain Newark stop serving passengers traveling to and from Terminal B at Newark Liberty International Airport.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2dae7a48190809d4455b2349aaa completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4332488d88190ac70846388b7ff13 completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.