Triple

T1178227
Position Surface form Disambiguated ID Type / Status
Subject MBTA Green Line E25076 entity
Predicate centralHub P2958 FINISHED
Object Kenmore
Kenmore is a major Boston transit station and surrounding neighborhood hub that serves as a key access point to Fenway Park, Boston University, and the Kenmore Square area.
 E134785 NE FINISHED

How this triple was built (4 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: Kenmore | Statement: [MBTA Green Line, centralHub, Kenmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kenmore
Context triple: [MBTA Green Line, centralHub, Kenmore]
  • A. Kenmore
    Kenmore is a long-standing American brand of home appliances, particularly known for its refrigerators, washers, dryers, and kitchen equipment sold through major retailers.
  • B. Danby
    Danby is a small rural village in North Yorkshire, England, known for its scenic setting within the North York Moors National Park.
  • C. Danby
    Danby is a small rural town in Tompkins County, New York, known for its scenic landscapes and proximity to the city of Ithaca.
  • D. Deering
    Deering is a small Inupiat community and city located on the Seward Peninsula in northwestern Alaska.
  • E. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kenmore
Triple: [MBTA Green Line, centralHub, Kenmore]
Generated description
Kenmore is a major Boston transit station and surrounding neighborhood hub that serves as a key access point to Fenway Park, Boston University, and the Kenmore Square area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kenmore
Target entity description: Kenmore is a major Boston transit station and surrounding neighborhood hub that serves as a key access point to Fenway Park, Boston University, and the Kenmore Square area.
  • A. Kenmore
    Kenmore is a long-standing American brand of home appliances, particularly known for its refrigerators, washers, dryers, and kitchen equipment sold through major retailers.
  • B. Danby
    Danby is a small rural village in North Yorkshire, England, known for its scenic setting within the North York Moors National Park.
  • C. Danby
    Danby is a small rural town in Tompkins County, New York, known for its scenic landscapes and proximity to the city of Ithaca.
  • D. Deering
    Deering is a small Inupiat community and city located on the Seward Peninsula in northwestern Alaska.
  • E. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • F. None of above. chosen

Provenance (5 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bf15423481909cb3e661e58d3d94 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f1cab308190bdb5ae1e01d83b61 completed March 7, 2026, 6:31 p.m.
NEDg Description generation batch_69ac6ff4c62881908cf88169e99d2983 completed March 7, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69ac704cdaf08190b77b0b9345537d84 completed March 7, 2026, 6:37 p.m.
Created at: March 1, 2026, 7:45 p.m.