Triple

T2810017
Position Surface form Disambiguated ID Type / Status
Subject Kendall/MIT station E54144 entity
Predicate connectsTo P845 FINISHED
Object Central station E230577 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 station | Statement: [Kendall/MIT station, connectsTo, Central station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central station
Context triple: [Kendall/MIT station, connectsTo, Central station]
  • A. Central station
    Central station is a major railway hub providing key train connections for travelers to and from Cambridge city center.
  • B. Central station chosen
    Central station is a key Massachusetts Bay Transportation Authority (MBTA) subway stop on the Red Line located in Cambridge, Massachusetts, serving the Central Square area.
  • C. Akard station
    Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
  • D. Luz Station
    Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
  • E. Suburban Station
    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.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde335b38819090c70d5e2ca14d79 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce97c3008190a966441d719d1d1c completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.