Triple

T16265851
Position Surface form Disambiguated ID Type / Status
Subject MARTA Streetcar E394872 entity
Predicate hasStop P17789 FINISHED
Object Park Place stop
Park Place stop is a station on Atlanta’s MARTA Streetcar line serving the downtown area.
 E1203782 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: Park Place stop | Statement: [MARTA Streetcar, hasStop, Park Place stop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Park Place stop
Context triple: [MARTA Streetcar, hasStop, Park Place stop]
  • A. College Street stop
    College Street stop is a streetcar stop on Toronto’s Spadina streetcar line, serving the intersection of Spadina Avenue and College Street.
  • B. Bremner Boulevard stop
    Bremner Boulevard stop is a streetcar stop in downtown Toronto serving the Spadina streetcar line near the city’s waterfront and entertainment district.
  • C. Central Chalmers Street stop
    Central Chalmers Street stop is a tram stop in Sydney serving the CBD and South East Light Rail near Central Station.
  • D. King Street stop
    King Street stop is a streetcar stop on Toronto’s Spadina streetcar line, serving the busy King Street corridor in the downtown core.
  • E. Market Street tram stop
    Market Street tram stop is a key Metrolink light-rail stop in Manchester city centre, serving as a busy access point for shopping and commercial areas.
  • 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: Park Place stop
Triple: [MARTA Streetcar, hasStop, Park Place stop]
Generated description
Park Place stop is a station on Atlanta’s MARTA Streetcar line serving the downtown area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Park Place stop
Target entity description: Park Place stop is a station on Atlanta’s MARTA Streetcar line serving the downtown area.
  • A. College Street stop
    College Street stop is a streetcar stop on Toronto’s Spadina streetcar line, serving the intersection of Spadina Avenue and College Street.
  • B. Bremner Boulevard stop
    Bremner Boulevard stop is a streetcar stop in downtown Toronto serving the Spadina streetcar line near the city’s waterfront and entertainment district.
  • C. Central Chalmers Street stop
    Central Chalmers Street stop is a tram stop in Sydney serving the CBD and South East Light Rail near Central Station.
  • D. King Street stop
    King Street stop is a streetcar stop on Toronto’s Spadina streetcar line, serving the busy King Street corridor in the downtown core.
  • E. Market Street tram stop
    Market Street tram stop is a key Metrolink light-rail stop in Manchester city centre, serving as a busy access point for shopping and commercial areas.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c839788190b974d1d0d2525b88 completed April 17, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b877088190893a1f012e5d2463 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a00183849bc8190a1896d240d8f91f0 completed May 10, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_6a00190887088190a5a0eb2cfd674c98 completed May 10, 2026, 5:35 a.m.
Created at: April 10, 2026, 5:05 a.m.