Triple

T21930366
Position Surface form Disambiguated ID Type / Status
Subject School of Community and Regional Planning (UBC) E541549 entity
Predicate hasAbbreviation P43 FINISHED
Object SCARP
SCARP is the acronym for the School of Community and Regional Planning at the University of British Columbia, a graduate school focused on planning education and research.
E1509090 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: SCARP | Statement: [School of Community and Regional Planning (UBC), hasAbbreviation, SCARP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SCARP
Context triple: [School of Community and Regional Planning (UBC), hasAbbreviation, SCARP]
  • A. SCAR
    SCAR is the ICAO airport code for Chacalluta International Airport, which serves the city of Arica in northern Chile.
  • B. SCAR
    SCAR is an international scientific body that coordinates and promotes research in and about Antarctica and the Southern Ocean.
  • C. SCAP
    SCAP was the title held by General Douglas MacArthur as the top Allied authority overseeing the occupation and reconstruction of Japan after World War II.
  • D. Skorpa
    Skorpa is an island located in the coastal municipality of Bremanger in Vestland county, western Norway.
  • E. Skorpa
    Skorpa is an island located within Kinn Municipality on the western coast of Norway, known for its rugged coastal landscape and North Sea surroundings.
  • 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: SCARP
Triple: [School of Community and Regional Planning (UBC), hasAbbreviation, SCARP]
Generated description
SCARP is the acronym for the School of Community and Regional Planning at the University of British Columbia, a graduate school focused on planning education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SCARP
Target entity description: SCARP is the acronym for the School of Community and Regional Planning at the University of British Columbia, a graduate school focused on planning education and research.
  • A. SCAR
    SCAR is the ICAO airport code for Chacalluta International Airport, which serves the city of Arica in northern Chile.
  • B. SCAR
    SCAR is an international scientific body that coordinates and promotes research in and about Antarctica and the Southern Ocean.
  • C. SCAP
    SCAP was the title held by General Douglas MacArthur as the top Allied authority overseeing the occupation and reconstruction of Japan after World War II.
  • D. Skorpa
    Skorpa is an island located in the coastal municipality of Bremanger in Vestland county, western Norway.
  • E. Skorpa
    Skorpa is an island located within Kinn Municipality on the western coast of Norway, known for its rugged coastal landscape and North Sea surroundings.
  • 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123fdd88081909dc7d4a05fb0ee35 completed April 28, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a60e3ad4c8190a874b2659388556a completed May 18, 2026, 12:44 a.m.
NEDg Description generation batch_6a0a618e55c4819099ab070410e4f1a9 completed May 18, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0a621fe47081908575a17b9895395a completed May 18, 2026, 12:49 a.m.
Created at: April 16, 2026, 7:47 p.m.