Triple

T7737599
Position Surface form Disambiguated ID Type / Status
Subject Greenbush Line E175422 entity
Predicate locale P387 FINISHED
Object South Shore E33301 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: South Shore | Statement: [Greenbush Line, locale, South Shore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: South Shore
Context triple: [Greenbush Line, locale, South Shore]
  • A. South Shore
    South Shore is a residential and lakefront community area on the South Side of Chicago known for its diverse population and views of Lake Michigan.
  • B. South Shore
    South Shore is a coastal region known for its surf-friendly beaches and breaks, popular among surfers and ocean enthusiasts.
  • C. South Shore
    South Shore is the suburban region located on the southern bank of the Saint Lawrence River opposite the Island of Montreal, known for its residential communities and commuter links to the city.
  • D. South Shore chosen
    South Shore is a coastal suburban region south of Boston, Massachusetts, known for its residential communities, beaches, and commuter access to the city.
  • E. North Shore
    North Shore is a riverfront neighborhood in Pittsburgh, Pennsylvania, known for its sports stadiums, entertainment venues, and scenic views along the Allegheny and Ohio Rivers.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035a97688190bf93efeee2e365ec completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3958ac8190a48ba07bd8ea3251 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:07 p.m.