Triple

T2419677
Position Surface form Disambiguated ID Type / Status
Subject Atlantic City Line E52388 entity
Predicate hasStation P35 FINISHED
Object Atco station
Atco station is a New Jersey Transit rail stop in Atco, New Jersey, serving passengers on the Atlantic City Line between Philadelphia and Atlantic City.
 E322471 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: Atco station | Statement: [Atlantic City Line, hasStation, Atco station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Atco station
Context triple: [Atlantic City Line, hasStation, Atco station]
  • A. Blaustein station
    Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
  • B. Bachman station
    Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
  • C. Cedar Grove station
    Cedar Grove station is a small neighborhood stop on Boston's MBTA Red Line, serving the Ashmont–Mattapan High-Speed Line in the Dorchester area.
  • D. Dorsey station
    Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
  • E. Laurel station
    Laurel station is a commuter rail stop in Laurel, Maryland, served by MARC's Camden Line between Washington, D.C., and Baltimore.
  • 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: Atco station
Triple: [Atlantic City Line, hasStation, Atco station]
Generated description
Atco station is a New Jersey Transit rail stop in Atco, New Jersey, serving passengers on the Atlantic City Line between Philadelphia and Atlantic City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Atco station
Target entity description: Atco station is a New Jersey Transit rail stop in Atco, New Jersey, serving passengers on the Atlantic City Line between Philadelphia and Atlantic City.
  • A. Blaustein station
    Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
  • B. Bachman station
    Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
  • C. Cedar Grove station
    Cedar Grove station is a small neighborhood stop on Boston's MBTA Red Line, serving the Ashmont–Mattapan High-Speed Line in the Dorchester area.
  • D. Dorsey station
    Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
  • E. Laurel station
    Laurel station is a commuter rail stop in Laurel, Maryland, served by MARC's Camden Line between Washington, D.C., and Baltimore.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc96e1b3881909de57501b5d4099a completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1eecac8548190941aa17044d11e59 completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1ef5bbec4819082757bb3ddd614ff completed March 11, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69b1efdfba0081908e3e30faa8d0f862 completed March 11, 2026, 10:42 p.m.
Created at: March 6, 2026, 9:42 p.m.