Triple

T1513485
Position Surface form Disambiguated ID Type / Status
Subject Canterbury, Kent, England E32065 entity
Predicate hasPostcodeArea P920 FINISHED
Object CT
CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
 E172239 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: CT | Statement: [Canterbury, Kent, England, hasPostcodeArea, CT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CT
Context triple: [Canterbury, Kent, England, hasPostcodeArea, CT]
  • A. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • B. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • C. CT scanners
    CT scanners are advanced medical imaging devices that use X-rays and computer processing to create detailed cross-sectional images of the body for diagnostic purposes.
  • D. MRI
    MRI (Matz's Ruby Interpreter) is the standard reference implementation of the Ruby programming language, written in C and known for prioritizing simplicity and developer happiness.
  • E. CMR
    CMR is the commonly used abbreviation for the Code of Massachusetts Regulations, the official compilation of administrative rules and regulations issued by Massachusetts state agencies.
  • 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: CT
Triple: [Canterbury, Kent, England, hasPostcodeArea, CT]
Generated description
CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CT
Target entity description: CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • A. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • B. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • C. CT scanners
    CT scanners are advanced medical imaging devices that use X-rays and computer processing to create detailed cross-sectional images of the body for diagnostic purposes.
  • D. MRI
    MRI (Matz's Ruby Interpreter) is the standard reference implementation of the Ruby programming language, written in C and known for prioritizing simplicity and developer happiness.
  • E. CMR
    CMR is the commonly used abbreviation for the Code of Massachusetts Regulations, the official compilation of administrative rules and regulations issued by Massachusetts state agencies.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907d901ac8190be55ed4bac609d1d completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad23409fd481909834aaf0dc4641f6 completed March 8, 2026, 7:20 a.m.
NEDg Description generation batch_69ad23b8d570819099b953c7a60e9445 completed March 8, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69ad248193ec8190b0c08ef979661af0 completed March 8, 2026, 7:25 a.m.
Created at: March 4, 2026, 7:26 p.m.