Triple

T3829345
Position Surface form Disambiguated ID Type / Status
Subject MARTA Bus E88771 entity
Predicate primaryHub P394 FINISHED
Object Lindbergh Center station E377817 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: Lindbergh Center station | Statement: [MARTA Bus, primaryHub, Lindbergh Center station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindbergh Center station
Context triple: [MARTA Bus, primaryHub, Lindbergh Center station]
  • A. Lindbergh Center station chosen
    Lindbergh Center station is a major MARTA transit hub in Atlanta that serves as a key transfer point between multiple rail lines and bus routes.
  • B. Forest Park station
    Forest Park station is a Chicago Transit Authority rapid transit station in Forest Park, Illinois, serving as the western endpoint of the Blue Line.
  • C. Belmont Center station
    Belmont Center station is a Massachusetts Bay Transportation Authority (MBTA) commuter rail stop located in the commercial center of Belmont, Massachusetts.
  • D. Fairview Heights station
    Fairview Heights station is a light rail stop in Inglewood, California, serving passengers on Los Angeles Metro's K Line.
  • E. Dorsey station
    Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb683c2081908ffa6e759a3470fe completed March 9, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb54636c8190a46224e0a8215e26 completed March 14, 2026, 6:08 a.m.
Created at: March 9, 2026, 3:17 p.m.