Triple

T726340
Position Surface form Disambiguated ID Type / Status
Subject Lochgelly railway station E14733 entity
Predicate hasStationCode P1289 FINISHED
Object LCG
LCG is the National Rail station code assigned to Lochgelly railway station in Fife, Scotland.
 E86250 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: LCG | Statement: [Lochgelly railway station, hasStationCode, LCG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LCG
Context triple: [Lochgelly railway station, hasStationCode, LCG]
  • A. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • B. LPC
    The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
  • C. RLC
    RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
  • D. LSL
    LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
  • E. LCH
    LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
  • 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: LCG
Triple: [Lochgelly railway station, hasStationCode, LCG]
Generated description
LCG is the National Rail station code assigned to Lochgelly railway station in Fife, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LCG
Target entity description: LCG is the National Rail station code assigned to Lochgelly railway station in Fife, Scotland.
  • A. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • B. LPC
    The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
  • C. RLC
    RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
  • D. LSL
    LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
  • E. LCH
    LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a9adf08190bf2baade7e2e1c1c completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6375e24248190b53efa0bfc29567a completed March 3, 2026, 1:20 a.m.
NEDg Description generation batch_69a63b580b3c81909fe2ba1b0aa958b6 completed March 3, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69a63bbb8e9881909d5ab68c4a47eb5c completed March 3, 2026, 1:39 a.m.
Created at: March 1, 2026, 7:37 p.m.