Triple

T4631414
Position Surface form Disambiguated ID Type / Status
Subject Monroe station E101424 entity
Predicate hasAdjacentStation P231 FINISHED
Object Jackson station E75766 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: Jackson station | Statement: [Monroe station, hasAdjacentStation, Jackson station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jackson station
Context triple: [Monroe station, hasAdjacentStation, Jackson station]
  • A. Jackson station chosen
    Jackson station is a major Chicago 'L' rapid transit stop in the Loop, serving as a key downtown hub for multiple CTA lines.
  • B. Elizabeth station
    Elizabeth station is a key New Jersey Transit rail stop in Elizabeth, New Jersey, providing commuter access along major regional routes including the busy Northeast Corridor.
  • C. Elizabeth station
    Elizabeth station is a railway station serving the suburb of Elizabeth in Adelaide, South Australia, providing commuter rail services on the Gawler line.
  • D. Southgate Station
    Southgate Station is a light rail transit stop in Edmonton, Alberta, serving the city’s LRT network and the surrounding Southgate commercial and residential area.
  • E. Robert Street Station
    Robert Street Station is a light rail stop in Saint Paul, Minnesota, serving passengers on the METRO Green Line.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a32d6408190962e60b9bce7560d completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfabeba3c8190b6515b99746f62a6 completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:13 p.m.