Triple

T15722572
Position Surface form Disambiguated ID Type / Status
Subject Green Line Union Square branch E381136 entity
Predicate terminus P388 FINISHED
Object Lechmere station E92544 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: Lechmere station | Statement: [Green Line Union Square branch, terminus, Lechmere station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lechmere station
Context triple: [Green Line Union Square branch, terminus, Lechmere station]
  • A. Lechmere station chosen
    Lechmere station is a Massachusetts Bay Transportation Authority (MBTA) Green Line light rail station serving the East Cambridge neighborhood of Cambridge, Massachusetts.
  • B. Linden station
    Linden station is a New Jersey Transit commuter rail stop in Linden, New Jersey, providing service along major regional routes between New York City and points south.
  • C. Linden station
    Linden station is a Chicago Transit Authority rapid transit station in Wilmette, Illinois, serving as the northern endpoint of the Purple Line.
  • D. Beynes station
    Beynes station is a suburban railway station in Beynes, France, served by Paris’ Transilien commuter network.
  • E. Poplar station
    Poplar station is a light rail stop serving the suburb of Mt. Lebanon in the Pittsburgh, Pennsylvania metropolitan area.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876759288190b263cbea00fdaba4 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:45 a.m.