Triple

T20441258
Position Surface form Disambiguated ID Type / Status
Subject MARTA rail network E501394 entity
Predicate connectsWith P37 FINISHED
Object Atlanta Streetcar NE NERFINISHED

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: Atlanta Streetcar | Statement: [MARTA rail network, connectsWith, Atlanta Streetcar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlanta Streetcar
Context triple: [MARTA rail network, connectsWith, Atlanta Streetcar]
  • A. Atlanta Streetcar chosen
    The Atlanta Streetcar is a modern electric streetcar system providing urban rail transit within central Atlanta, Georgia.
  • B. Dallas Streetcar
    Dallas Streetcar is a modern, free-to-ride streetcar line in Dallas, Texas, providing light rail-style transit between downtown and the Oak Cliff area.
  • C. DC Streetcar
    DC Streetcar is a modern streetcar transit system in Washington, D.C. that provides light-rail-style service along key corridors in the city.
  • D. Portland Streetcar
    Portland Streetcar is a modern urban streetcar transit system serving central Portland, Oregon, connecting key neighborhoods, employment centers, and educational institutions.
  • E. MARTA Streetcar
    MARTA Streetcar is a modern streetcar transit service operating in Atlanta, Georgia, providing local rail connections through key downtown and nearby neighborhoods.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f2e8888190a2e0d6b2bf6c905d completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.