Triple

T1695826
Position Surface form Disambiguated ID Type / Status
Subject Beaconsfield station E36654 entity
Predicate hasAdjacentStation P231 FINISHED
Object Reservoir station E34906 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: Reservoir station | Statement: [Beaconsfield station, hasAdjacentStation, Reservoir station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reservoir station
Context triple: [Beaconsfield station, hasAdjacentStation, Reservoir station]
  • A. Reservoir station chosen
    Reservoir station is a light rail stop on Boston’s MBTA Green Line that serves the D branch near Cleveland Circle in Brookline.
  • B. Jubany Station
    Jubany Station is an Argentine Antarctic research base located on King George Island near the Antarctic Peninsula, supporting scientific studies in fields such as glaciology, biology, and atmospheric science.
  • C. Waterfront station
    Waterfront station is a Washington Metro rapid transit stop in Southwest Washington, D.C., serving the Green Line and the surrounding waterfront neighborhood.
  • D. Carpenter station
    Carpenter station is a regional rail stop in Philadelphia, Pennsylvania, served by SEPTA’s Chestnut Hill West Line.
  • E. Shirley station
    Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b645a081909dafdf7a32f2a389 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad7998e1108190aa7430cd4ef887d9 completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:30 p.m.