Triple

T21352556
Position Surface form Disambiguated ID Type / Status
Subject London Road (Gfd) station E526525 entity
Predicate hasStationCode P1289 FINISHED
Object LRD
LRD is the National Rail station code for London Road (Guildford) railway station in Surrey, England.
 E1480407 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: LRD | Statement: [London Road (Gfd) station, hasStationCode, LRD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LRD
Context triple: [London Road (Gfd) station, hasStationCode, LRD]
  • A. LRD
    LRD is the official currency code for the Liberian dollar, the legal tender used in Liberia.
  • B. LRD
    LRD is the three-letter FAA airport code for Laredo International Airport in Laredo, Texas.
  • C. LR
    LR is a German vehicle registration code assigned to the Ortenaukreis district in the state of Baden-Württemberg.
  • D. LR
    LR is the commonly used abbreviation for Les Républicains, a major center-right political party in France.
  • E. LR
    LR is the stock ticker symbol for Legrand, a global specialist in electrical and digital building infrastructure.
  • 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: LRD
Triple: [London Road (Gfd) station, hasStationCode, LRD]
Generated description
LRD is the National Rail station code for London Road (Guildford) railway station in Surrey, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LRD
Target entity description: LRD is the National Rail station code for London Road (Guildford) railway station in Surrey, England.
  • A. LRD
    LRD is the official currency code for the Liberian dollar, the legal tender used in Liberia.
  • B. LRD
    LRD is the three-letter FAA airport code for Laredo International Airport in Laredo, Texas.
  • C. LR
    LR is a German vehicle registration code assigned to the Ortenaukreis district in the state of Baden-Württemberg.
  • D. LR
    LR is the stock ticker symbol for Legrand, a global specialist in electrical and digital building infrastructure.
  • E. LR
    LR is the commonly used abbreviation for Les Républicains, a major center-right political party in France.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8ad34a1d48190b14fa099968faf7c completed April 22, 2026, 11:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09ad61410081909dbed86cc6b70bca completed May 17, 2026, 11:58 a.m.
NEDg Description generation batch_6a09ae7ab31081908d57ff9ffe7c223b completed May 17, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_6a09af42dc78819096e4e08f8ec44f71 completed May 17, 2026, 12:06 p.m.
Created at: April 16, 2026, 5:05 p.m.