Triple

T19852561
Position Surface form Disambiguated ID Type / Status
Subject Godstone railway station E477035 entity
Predicate stationCode P1289 FINISHED
Object GDN
GDN is the National Rail station code for Godstone railway station in Surrey, England.
 E1398111 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: GDN | Statement: [Godstone railway station, stationCode, GDN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GDN
Context triple: [Godstone railway station, stationCode, GDN]
  • A. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • B. DGN
    DGN is a public high school in Downers Grove, Illinois, known for its strong academics, extracurricular programs, and community involvement.
  • C. EGDN
    EGDN is the ICAO airport code for Netheravon Airfield, a military airfield in Wiltshire, England.
  • D. DGP
    DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
  • E. GDA
    GDA is a Polish vehicle registration code assigned to cars registered in the Pomeranian Voivodeship, specifically associated with the Gdańsk area.
  • 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: GDN
Triple: [Godstone railway station, stationCode, GDN]
Generated description
GDN is the National Rail station code for Godstone railway station in Surrey, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GDN
Target entity description: GDN is the National Rail station code for Godstone railway station in Surrey, England.
  • A. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • B. DGN
    DGN is a public high school in Downers Grove, Illinois, known for its strong academics, extracurricular programs, and community involvement.
  • C. EGDN
    EGDN is the ICAO airport code for Netheravon Airfield, a military airfield in Wiltshire, England.
  • D. DGP
    DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
  • E. GDA
    GDA is a Polish vehicle registration code assigned to cars registered in the Pomeranian Voivodeship, specifically associated with the Gdańsk area.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65869e1b481908e2a2a2074ff4a6d completed April 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d44098188190b2627bbf3695495d completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d51bda3c81908575cd41a212c108 completed May 16, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_6a07d5d7c4bc8190ab189fa556a956d7 completed May 16, 2026, 2:26 a.m.
Created at: April 10, 2026, 1:51 p.m.