Triple

T22889790
Position Surface form Disambiguated ID Type / Status
Subject Glenferrie railway station E567704 entity
Predicate hasStationCode P1289 FINISHED
Object GFE
GFE is the station code for Glenferrie railway station on Melbourne’s suburban rail network in Victoria, Australia.
E1560370 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: GFE | Statement: [Glenferrie railway station, hasStationCode, GFE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GFE
Context triple: [Glenferrie railway station, hasStationCode, GFE]
  • A. GEF
    GEF is an international partnership and financial mechanism that provides funding and support for projects addressing global environmental issues such as biodiversity loss, climate change, and pollution.
  • B. GFA
    GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
  • C. GFA
    GFA is the governing body responsible for organizing and overseeing football activities and competitions in Ghana.
  • D. GFA
    GFA is the IATA airport code for the airfield serving Malmstrom Air Force Base in Montana, United States.
  • E. GEG
    GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
  • 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: GFE
Triple: [Glenferrie railway station, hasStationCode, GFE]
Generated description
GFE is the station code for Glenferrie railway station on Melbourne’s suburban rail network in Victoria, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GFE
Target entity description: GFE is the station code for Glenferrie railway station on Melbourne’s suburban rail network in Victoria, Australia.
  • A. GEF
    GEF is an international partnership and financial mechanism that provides funding and support for projects addressing global environmental issues such as biodiversity loss, climate change, and pollution.
  • B. GFA
    GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
  • C. GFA
    GFA is the IATA airport code for the airfield serving Malmstrom Air Force Base in Montana, United States.
  • D. GFA
    GFA is the governing body responsible for organizing and overseeing football activities and competitions in Ghana.
  • E. GEG
    GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc479d48190a8218eceaebd6cc8 completed April 29, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9c03a2481909a2c41b6cdab0363 completed May 19, 2026, 1:15 a.m.
NEDg Description generation batch_6a0bbb6ca76c8190bde7e1eacb121d23 completed May 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbc15b59c8190b918d551b1fb3230 completed May 19, 2026, 1:25 a.m.
Created at: April 17, 2026, 3:40 p.m.