Triple

T1192791
Position Surface form Disambiguated ID Type / Status
Subject MBTA Silver Line E25599 entity
Predicate line P1293 FINISHED
Object SL5
SL5 is a branch of Boston’s MBTA Silver Line bus rapid transit service that runs between downtown and the Seaport/South Station area.
 E141191 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: SL5 | Statement: [MBTA Silver Line, line, SL5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SL5
Context triple: [MBTA Silver Line, line, SL5]
  • A. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • B. SL4
    SL4 is a branch of Boston’s MBTA Silver Line bus rapid transit service that runs between downtown and the Seaport/South Station area.
  • C. SL2
    SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
  • D. SLV
    SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
  • E. SL3
    SL3 is a branch of Boston’s MBTA Silver Line bus rapid transit system that connects South Station with Chelsea via the Seaport and East Boston tunnels.
  • 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: SL5
Triple: [MBTA Silver Line, line, SL5]
Generated description
SL5 is a branch of Boston’s MBTA Silver Line bus rapid transit service that runs between downtown and the Seaport/South Station area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SL5
Target entity description: SL5 is a branch of Boston’s MBTA Silver Line bus rapid transit service that runs between downtown and the Seaport/South Station area.
  • A. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • B. SL4 chosen
    SL4 is a branch of Boston’s MBTA Silver Line bus rapid transit service that runs between downtown and the Seaport/South Station area.
  • C. SL2
    SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
  • D. SLV
    SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
  • E. SL3
    SL3 is a branch of Boston’s MBTA Silver Line bus rapid transit system that connects South Station with Chelsea via the Seaport and East Boston tunnels.
  • F. None of above.

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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd761ef08190b431b80f326d1ab2 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f6d4e788190b993dc2bdd69ed26 completed March 7, 2026, 8:49 p.m.
NEDg Description generation batch_69ac8fe33f2c8190bd2ea9dfa9744a3a completed March 7, 2026, 8:51 p.m.
NED2 Entity disambiguation (via description) batch_69ac9042565081908ab5bfd22e21e434 completed March 7, 2026, 8:53 p.m.
Created at: March 1, 2026, 7:45 p.m.