Triple

T22084436
Position Surface form Disambiguated ID Type / Status
Subject London River Services E545735 entity
Predicate hasAbbreviation P43 FINISHED
Object LRS
LRS is the commonly used abbreviation for London River Services, the body responsible for coordinating and licensing passenger boat services on the River Thames in London.
 E1517271 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: LRS | Statement: [London River Services, hasAbbreviation, LRS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LRS
Context triple: [London River Services, hasAbbreviation, LRS]
  • A. LRS
    LRS is the IATA airport code for Leros Municipal Airport, a small regional airport serving the Greek island of Leros in the Dodecanese.
  • B. LSR
    LSR is a prestigious women’s college in New Delhi, India, renowned for its academic excellence and affiliation with the University of Delhi.
  • C. LRD
    LRD is the three-letter FAA airport code for Laredo International Airport in Laredo, Texas.
  • D. LRD
    LRD is the official currency code for the Liberian dollar, the legal tender used in Liberia.
  • E. LRD
    LRD is the National Rail station code for London Road (Guildford) railway station in Surrey, England.
  • 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: LRS
Triple: [London River Services, hasAbbreviation, LRS]
Generated description
LRS is the commonly used abbreviation for London River Services, the body responsible for coordinating and licensing passenger boat services on the River Thames in London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LRS
Target entity description: LRS is the commonly used abbreviation for London River Services, the body responsible for coordinating and licensing passenger boat services on the River Thames in London.
  • A. LRS
    LRS is the IATA airport code for Leros Municipal Airport, a small regional airport serving the Greek island of Leros in the Dodecanese.
  • B. LSR
    LSR is a prestigious women’s college in New Delhi, India, renowned for its academic excellence and affiliation with the University of Delhi.
  • C. LRD
    LRD is the three-letter FAA airport code for Laredo International Airport in Laredo, Texas.
  • D. LRD
    LRD is the official currency code for the Liberian dollar, the legal tender used in Liberia.
  • E. LRD
    LRD is the National Rail station code for London Road (Guildford) railway station in Surrey, England.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b95e908190bd846f531eb59b50 completed April 28, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80bd85708190ba4217a96588a52a completed May 18, 2026, 3 a.m.
NEDg Description generation batch_6a0a8165238c81909f53f0c96ceda4dc completed May 18, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0a826075988190a7148ded16f779c0 completed May 18, 2026, 3:07 a.m.
Created at: April 16, 2026, 8:29 p.m.