Triple

T9751352
Position Surface form Disambiguated ID Type / Status
Subject Ferndale station E236445 entity
Predicate hasStationCode P1289 FINISHED
Object FER
FER is the station code for Ferndale railway station, identifying it within the rail network.
 E818064 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: FER | Statement: [Ferndale station, hasStationCode, FER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FER
Context triple: [Ferndale station, hasStationCode, FER]
  • A. EF
    EF is the commonly used abbreviation for the Eclipse Foundation, a nonprofit organization that oversees open-source software projects and the Eclipse IDE ecosystem.
  • B. F
    The F is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and Queens Boulevard Line in Queens, connecting Brooklyn, Manhattan, and Queens.
  • C. F
    F is the New York Stock Exchange ticker symbol for Ford Motor Company, the American multinational automaker known for mass-producing automobiles and pioneering assembly line manufacturing.
  • D. FY
    FY is a UK postcode area covering parts of the Fylde coast in Lancashire, including towns such as Blackpool and Thornton-Cleveleys.
  • E. FT
    FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
  • 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: FER
Triple: [Ferndale station, hasStationCode, FER]
Generated description
FER is the station code for Ferndale railway station, identifying it within the rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FER
Target entity description: FER is the station code for Ferndale railway station, identifying it within the rail network.
  • A. EF
    EF is the commonly used abbreviation for the Eclipse Foundation, a nonprofit organization that oversees open-source software projects and the Eclipse IDE ecosystem.
  • B. F
    The F is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and Queens Boulevard Line in Queens, connecting Brooklyn, Manhattan, and Queens.
  • C. F
    F is the New York Stock Exchange ticker symbol for Ford Motor Company, the American multinational automaker known for mass-producing automobiles and pioneering assembly line manufacturing.
  • D. FY
    FY is a UK postcode area covering parts of the Fylde coast in Lancashire, including towns such as Blackpool and Thornton-Cleveleys.
  • E. FT
    FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9facd5b881909f0569b23f308815 completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b020829481908456e7977c5f9adb completed April 5, 2026, 12:43 a.m.
NEDg Description generation batch_69d1b0dde93881908fcec28de9cfa99d completed April 5, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1b1bbe6108190af17b75f79c0f465 completed April 5, 2026, 12:50 a.m.
Created at: March 30, 2026, 8:24 p.m.