Triple

T16900474
Position Surface form Disambiguated ID Type / Status
Subject Ifield railway station E424420 entity
Predicate hasStationCode P1289 FINISHED
Object IFI
IFI is the National Rail station code for Ifield railway station in West Sussex, England.
 E1239509 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: IFI | Statement: [Ifield railway station, hasStationCode, IFI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IFI
Context triple: [Ifield railway station, hasStationCode, IFI]
  • A. IFI
    IFI is the acronym for the Philippine Independent Church, a self-governing Christian denomination that broke away from the Roman Catholic Church in the early 20th century and is known for its nationalist roots.
  • B. IFS
    IFS is a subsystem of the SPHERE platform, likely responsible for a specific functional component such as data handling, control, or instrumentation within the overall system.
  • C. IFS
    IFS is the acronym for the Indian Foreign Service, the elite diplomatic corps of India responsible for managing the country’s external affairs and international relations.
  • D. FI
    FI is the vehicle registration code used for the Italian city and province of Florence.
  • E. FI
    FI is the stock ticker symbol for Fiserv, Inc., a major U.S.-based financial technology and payments processing company.
  • 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: IFI
Triple: [Ifield railway station, hasStationCode, IFI]
Generated description
IFI is the National Rail station code for Ifield railway station in West Sussex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IFI
Target entity description: IFI is the National Rail station code for Ifield railway station in West Sussex, England.
  • A. IFI
    IFI is the acronym for the Philippine Independent Church, a self-governing Christian denomination that broke away from the Roman Catholic Church in the early 20th century and is known for its nationalist roots.
  • B. IFS
    IFS is a subsystem of the SPHERE platform, likely responsible for a specific functional component such as data handling, control, or instrumentation within the overall system.
  • C. IFS
    IFS is the acronym for the Indian Foreign Service, the elite diplomatic corps of India responsible for managing the country’s external affairs and international relations.
  • D. FI
    FI is the stock ticker symbol for Fiserv, Inc., a major U.S.-based financial technology and payments processing company.
  • E. FI
    FI is the vehicle registration code used for the Italian city and province of Florence.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8dbc6e48190be90066b82fc61db completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b273608190b552d8dc22bc51ef completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c88e83b88190919cfa0d10112e53 completed May 10, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_6a00c90bfeb0819098b93a22d5886c6f completed May 10, 2026, 6:06 p.m.
Created at: April 10, 2026, 5:29 a.m.