Triple

T1225473
Position Surface form Disambiguated ID Type / Status
Subject 15th Street station E26317 entity
Predicate adjacentStation P5707 FINISHED
Object Suburban Station E68595 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: Suburban Station | Statement: [15th Street station, adjacentStation, Suburban Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suburban Station
Context triple: [15th Street station, adjacentStation, Suburban Station]
  • A. Suburban Station chosen
    Suburban Station is a major underground commuter rail hub in Center City Philadelphia that serves as a key node in the SEPTA Regional Rail network.
  • B. Snyder station
    Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
  • C. Victory Station
    Victory Station is a Dallas Area Rapid Transit (DART) light rail and commuter rail station located near the American Airlines Center in Dallas, Texas.
  • D. Southeast station
    Southeast station is a Metro-North Railroad commuter rail stop in the town of Southeast, New York, serving the Harlem Line.
  • E. Howard station
    Howard station is a major Chicago Transit Authority rail terminal on the city's North Side that serves as a key hub for the Red, Purple, and Yellow Lines.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be39908481908cca21aaf0828415 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ab00888190afc7c54d9b89ae3b completed March 8, 2026, 10:09 p.m.
Created at: March 1, 2026, 7:47 p.m.