Triple

T23204124
Position Surface form Disambiguated ID Type / Status
Subject Claygate railway station E580397 entity
Predicate stationCode P1289 FINISHED
Object CLG
CLG is the National Rail station code for Claygate railway station in Surrey, England.
E1575829 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: CLG | Statement: [Claygate railway station, stationCode, CLG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CLG
Context triple: [Claygate railway station, stationCode, CLG]
  • A. CLG Black
    CLG Black was a North American League of Legends Challenger-level team affiliated with Counter Logic Gaming, featuring players such as jungler Jake "Xmithie" Puchero.
  • B. CLG-4
    CLG-4 is the hull classification symbol for the guided missile light cruiser variant of the USS Little Rock in the United States Navy.
  • C. CLW
    CLW is the National Rail station code for Chorleywood railway station in Hertfordshire, England.
  • D. SKLG
    SKLG is the ICAO airport code for the main airport serving Puerto Leguízamo in Colombia.
  • E. CLB
    CLB is the abbreviated name for Japan’s Cabinet Legislation Bureau, the government body that reviews and drafts legislation and advises the Cabinet on legal matters.
  • 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: CLG
Triple: [Claygate railway station, stationCode, CLG]
Generated description
CLG is the National Rail station code for Claygate railway station in Surrey, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CLG
Target entity description: CLG is the National Rail station code for Claygate railway station in Surrey, England.
  • A. CLG Black
    CLG Black was a North American League of Legends Challenger-level team affiliated with Counter Logic Gaming, featuring players such as jungler Jake "Xmithie" Puchero.
  • B. CLG-4
    CLG-4 is the hull classification symbol for the guided missile light cruiser variant of the USS Little Rock in the United States Navy.
  • C. CLW
    CLW is the National Rail station code for Chorleywood railway station in Hertfordshire, England.
  • D. SKLG
    SKLG is the ICAO airport code for the main airport serving Puerto Leguízamo in Colombia.
  • E. CLB
    CLB is the abbreviated name for Japan’s Cabinet Legislation Bureau, the government body that reviews and drafts legislation and advises the Cabinet on legal matters.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907b3e88819088a397a99456bf77 completed April 29, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30c2ac508190ab718e22afde7a73 completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c332f5ef08190ab7f6536eb719e04 completed May 19, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0c374ded1c8190b1d5c7a3ab521cf9 completed May 19, 2026, 10:11 a.m.
Created at: April 17, 2026, 4:07 p.m.