Triple

T8909727
Position Surface form Disambiguated ID Type / Status
Subject Gillingham railway station E212149 entity
Predicate stationCode P1289 FINISHED
Object GLM
GLM is the National Rail station code for Gillingham railway station in Kent, England.
 E766618 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: GLM | Statement: [Gillingham railway station, stationCode, GLM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GLM
Context triple: [Gillingham railway station, stationCode, GLM]
  • A. GSL
    GSL is the vehicle registration code assigned to cars registered in a specific district of Poland’s Pomeranian Voivodeship.
  • B. GLA
    GLA is the three-letter IATA airport code for Glasgow Airport, the main international airport serving Glasgow, Scotland.
  • C. GLC
    GLC is a Chicago-based rapper and longtime Kanye West collaborator known for his appearances on early Kanye albums and his affiliation with the G.O.O.D. Music collective.
  • D. GLC
    GLC is a prominent and historic law college in Mumbai, India, officially known as Government Law College.
  • E. GLC
    GLC is the National Rail station code for Glasgow Central, a major railway terminus in Glasgow, Scotland.
  • 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: GLM
Triple: [Gillingham railway station, stationCode, GLM]
Generated description
GLM is the National Rail station code for Gillingham railway station in Kent, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GLM
Target entity description: GLM is the National Rail station code for Gillingham railway station in Kent, England.
  • A. GSL
    GSL is the vehicle registration code assigned to cars registered in a specific district of Poland’s Pomeranian Voivodeship.
  • B. GLA
    GLA is the three-letter IATA airport code for Glasgow Airport, the main international airport serving Glasgow, Scotland.
  • C. GLC
    GLC is a Chicago-based rapper and longtime Kanye West collaborator known for his appearances on early Kanye albums and his affiliation with the G.O.O.D. Music collective.
  • D. GLC
    GLC is a prominent and historic law college in Mumbai, India, officially known as Government Law College.
  • E. GLC
    GLC is the National Rail station code for Glasgow Central, a major railway terminus in Glasgow, Scotland.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc65227d008190b13ba162d0b3c9d1 completed April 1, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba36f8cc8190ab57ddc99b7219d1 completed April 3, 2026, 1:01 p.m.
NEDg Description generation batch_69cfbade9330819096d4b0eeacdad6da completed April 3, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfbec2b8888190a0390168fdcef05f completed April 3, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:55 p.m.