Triple

T3705456
Position Surface form Disambiguated ID Type / Status
Subject Mattapan High-Speed Line E80880 entity
Predicate hasStop P17789 FINISHED
Object Central Avenue station E130085 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: Central Avenue station | Statement: [Mattapan High-Speed Line, hasStop, Central Avenue station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Avenue station
Context triple: [Mattapan High-Speed Line, hasStop, Central Avenue station]
  • A. Central Avenue station chosen
    Central Avenue station is a stop on Boston's MBTA Mattapan Trolley line serving the Milton area along the historic Ashmont–Mattapan High-Speed Line.
  • B. Branch Avenue station
    Branch Avenue station is a Washington Metro rail station in Maryland that serves as the southern terminus of the system’s Green Line.
  • C. Raymond Avenue Station
    Raymond Avenue Station is a light rail stop in Saint Paul, Minnesota, serving the METRO Green Line and the surrounding University and neighborhood communities.
  • D. North Avenue station
    North Avenue station is a transit stop on Baltimore's Light Rail system serving the North Avenue corridor in Baltimore, Maryland.
  • E. North Avenue station
    North Avenue station is a major elevated rail station in Quezon City, Philippines, serving as a key commuter hub on Manila’s MRT Line 3.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc54bbfcc8190bec9c16e3749c3b1 completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4c189208190b387c2f504047a35 completed March 14, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:33 p.m.