Triple

T17329354
Position Surface form Disambiguated ID Type / Status
Subject South Gosforth Metro station E420771 entity
Predicate hasStationCode P1289 FINISHED
Object SGF
SGF is the station code for South Gosforth Metro station on the Tyne and Wear Metro network in Newcastle upon Tyne, England.
 E1262703 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: SGF | Statement: [South Gosforth Metro station, hasStationCode, SGF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SGF
Context triple: [South Gosforth Metro station, hasStationCode, SGF]
  • A. KGS
    KGS is the IATA airport code for Kos Island International Airport, which serves the Greek island of Kos in the Aegean Sea.
  • B. KGS
    KGS is the official currency code for the Kyrgyzstani som, the national currency of Kyrgyzstan.
  • C. PGN
    PGN is the vehicle registration code assigned to the city of Gniezno in Poland.
  • D. PGN
    PGN is the commonly used acronym for Colombia’s Office of the Inspector General, the state body responsible for overseeing public officials and safeguarding public interests.
  • E. SGB
    SGB is the National Rail station code for Smethwick Galton Bridge railway station in the West Midlands, England.
  • 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: SGF
Triple: [South Gosforth Metro station, hasStationCode, SGF]
Generated description
SGF is the station code for South Gosforth Metro station on the Tyne and Wear Metro network in Newcastle upon Tyne, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SGF
Target entity description: SGF is the station code for South Gosforth Metro station on the Tyne and Wear Metro network in Newcastle upon Tyne, England.
  • A. KGS
    KGS is the IATA airport code for Kos Island International Airport, which serves the Greek island of Kos in the Aegean Sea.
  • B. KGS
    KGS is the official currency code for the Kyrgyzstani som, the national currency of Kyrgyzstan.
  • C. PGN
    PGN is the vehicle registration code assigned to the city of Gniezno in Poland.
  • D. PGN
    PGN is the commonly used acronym for Colombia’s Office of the Inspector General, the state body responsible for overseeing public officials and safeguarding public interests.
  • E. SGB
    SGB is the National Rail station code for Smethwick Galton Bridge railway station in the West Midlands, England.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d50b308190a255874a9b8f3cd3 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c4dff088190833122dbe2981045 completed May 11, 2026, 7:59 a.m.
NEDg Description generation batch_6a018eecff38819092c801e4c9d3a8a0 completed May 11, 2026, 8:10 a.m.
NED2 Entity disambiguation (via description) batch_6a018f50002c8190ae2457cefabacbbe completed May 11, 2026, 8:12 a.m.
Created at: April 10, 2026, 5:43 a.m.