Triple

T10319544
Position Surface form Disambiguated ID Type / Status
Subject International Terrestrial Reference System E242103 entity
Predicate dataSources P2296 FINISHED
Object SLR
SLR (Satellite Laser Ranging) is a geodetic technique that measures the distance to satellites using laser pulses to precisely determine Earth’s shape, rotation, and reference frames.
E855200 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: SLR | Statement: [International Terrestrial Reference System, dataSources, SLR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SLR
Context triple: [International Terrestrial Reference System, dataSources, SLR]
  • A. SLR
    SLR is the common abbreviation for the L1A1 Self-Loading Rifle, a widely used British semi-automatic battle rifle derived from the FN FAL.
  • B. SLR
    SLR is the reporting mark and common abbreviation for the St. Lawrence and Atlantic Railroad, a regional freight railroad operating in the northeastern United States and Canada.
  • C. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • D. SL
    SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
  • E. SL
    SL is a mid-range trim level of the Vauxhall Viva that added extra comfort and cosmetic features over the base model.
  • 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: SLR
Triple: [International Terrestrial Reference System, dataSources, SLR]
Generated description
SLR (Satellite Laser Ranging) is a geodetic technique that measures the distance to satellites using laser pulses to precisely determine Earth’s shape, rotation, and reference frames.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SLR
Target entity description: SLR (Satellite Laser Ranging) is a geodetic technique that measures the distance to satellites using laser pulses to precisely determine Earth’s shape, rotation, and reference frames.
  • A. SLR
    SLR is the reporting mark and common abbreviation for the St. Lawrence and Atlantic Railroad, a regional freight railroad operating in the northeastern United States and Canada.
  • B. SLR
    SLR is the common abbreviation for the L1A1 Self-Loading Rifle, a widely used British semi-automatic battle rifle derived from the FN FAL.
  • C. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • D. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • E. SL
    SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6ca62b48190844b4cbf55d53a43 completed April 7, 2026, 10:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d94aba48190aa40201d46f7ba2f completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d7318755b881908e9ea4f1dfcf7da2 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d73285e0688190a98708477527bbee completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:49 a.m.