Triple

T22203377
Position Surface form Disambiguated ID Type / Status
Subject Grønland metro station E548736 entity
Predicate hasStationCode P1289 FINISHED
Object GRL
GRL is the station code for Grønland, a centrally located Oslo Metro station serving multiple lines in Norway’s capital.
 E1524340 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: GRL | Statement: [Grønland metro station, hasStationCode, GRL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GRL
Context triple: [Grønland metro station, hasStationCode, GRL]
  • A. GRL
    GRL is a leading peer-reviewed scientific journal that publishes short, high-impact research articles across the Earth and space sciences.
  • B. GLR
    GLR is the IATA airport code for Gaylord Regional Airport, a public airport serving the Gaylord area in Michigan, United States.
  • C. GRA
    GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
  • D. GL
    GL is the stock ticker symbol for Globe Life Inc., a U.S.-based life and health insurance company traded on the New York Stock Exchange.
  • E. GL
    GL is the postcode area in the United Kingdom that covers Cheltenham and surrounding parts of Gloucestershire.
  • 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: GRL
Triple: [Grønland metro station, hasStationCode, GRL]
Generated description
GRL is the station code for Grønland, a centrally located Oslo Metro station serving multiple lines in Norway’s capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GRL
Target entity description: GRL is the station code for Grønland, a centrally located Oslo Metro station serving multiple lines in Norway’s capital.
  • A. GRL
    GRL is a leading peer-reviewed scientific journal that publishes short, high-impact research articles across the Earth and space sciences.
  • B. GLR
    GLR is the IATA airport code for Gaylord Regional Airport, a public airport serving the Gaylord area in Michigan, United States.
  • C. GRA
    GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
  • D. GL
    GL is the postcode area in the United Kingdom that covers Cheltenham and surrounding parts of Gloucestershire.
  • E. GL
    GL is the stock ticker symbol for Globe Life Inc., a U.S.-based life and health insurance company traded on the New York Stock Exchange.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b25eac4819094b3c50027ed66db completed April 28, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aa616fce88190b9e403af631a7258 completed May 18, 2026, 5:39 a.m.
NEDg Description generation batch_6a0aa6d1f634819082d1edd70217b70c completed May 18, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa7879e048190bd4b8e7f7cfbaec4 completed May 18, 2026, 5:45 a.m.
Created at: April 16, 2026, 8:36 p.m.