Triple

T2295975
Position Surface form Disambiguated ID Type / Status
Subject DART Green Line E51613 entity
Predicate hasStation P35 FINISHED
Object Royal Lane station
Royal Lane station is a light rail stop in Dallas, Texas, served by DART's Green Line.
E253688 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: Royal Lane station | Statement: [DART Green Line, hasStation, Royal Lane station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Lane station
Context triple: [DART Green Line, hasStation, Royal Lane station]
  • A. St. James station
    St. James station is a historic Long Island Rail Road commuter rail stop located in the hamlet of St. James on Long Island, New York.
  • B. St. Martins station
    St. Martins station is a regional rail stop in Philadelphia, Pennsylvania, serving the Chestnut Hill West Line of SEPTA.
  • C. Victoria Station
    Victoria Station is a major railway and tram interchange in Manchester, England, serving as a key transport hub for regional and national rail services.
  • D. Court House station
    Court House station is a Washington Metro rapid transit station serving the Courthouse neighborhood in Arlington, Virginia.
  • E. West End station
    West End station is a key Dallas Area Rapid Transit (DART) light rail stop serving the historic West End district in downtown Dallas, Texas.
  • 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: Royal Lane station
Triple: [DART Green Line, hasStation, Royal Lane station]
Generated description
Royal Lane station is a light rail stop in Dallas, Texas, served by DART's Green Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Royal Lane station
Target entity description: Royal Lane station is a light rail stop in Dallas, Texas, served by DART's Green Line.
  • A. St. James station
    St. James station is a historic Long Island Rail Road commuter rail stop located in the hamlet of St. James on Long Island, New York.
  • B. St. Martins station
    St. Martins station is a regional rail stop in Philadelphia, Pennsylvania, serving the Chestnut Hill West Line of SEPTA.
  • C. Victoria Station
    Victoria Station is a major railway and tram interchange in Manchester, England, serving as a key transport hub for regional and national rail services.
  • D. Court House station
    Court House station is a Washington Metro rapid transit station serving the Courthouse neighborhood in Arlington, Virginia.
  • E. West End station
    West End station is a key Dallas Area Rapid Transit (DART) light rail stop serving the historic West End district in downtown Dallas, Texas.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5dc40f881908a3dcc518bbead55 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f28db6c81909dbe55c704307da6 completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae7fd6e8608190b48f3a50ee62d664 completed March 9, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69ae804b402c81909a5fc68c6ee3decb completed March 9, 2026, 8:09 a.m.
Created at: March 4, 2026, 7:49 p.m.