Triple

T8324502
Position Surface form Disambiguated ID Type / Status
Subject Watton-at-Stone E194915 entity
Predicate hasPostcodeArea P920 FINISHED
Object SG
SG is a postcode area in the United Kingdom covering parts of Hertfordshire and Bedfordshire, including towns such as Stevenage and Hitchin.
 E209989 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: SG | Statement: [Watton-at-Stone, hasPostcodeArea, SG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SG
Context triple: [Watton-at-Stone, hasPostcodeArea, SG]
  • A. SG
    SG is the Secretariat-General of the European Commission, the central administrative body that supports the Commission’s work, coordination, and decision-making processes.
  • B. SG
    SG is the IATA airline designator assigned to SpiceJet, a major low-cost carrier based in India.
  • C. SG
    SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
  • D. SG
    SG is the vehicle registration code used on license plates for Spain’s Segovia Province.
  • E. SG
    SG (Sanspareils Greenlands) is a prominent Indian sports equipment manufacturer best known for its high-quality cricket gear, including bats, balls, and protective equipment.
  • 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: SG
Triple: [Watton-at-Stone, hasPostcodeArea, SG]
Generated description
SG is a postcode area in the United Kingdom covering parts of Hertfordshire and Bedfordshire, including towns such as Stevenage and Hitchin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SG
Target entity description: SG is a postcode area in the United Kingdom covering parts of Hertfordshire and Bedfordshire, including towns such as Stevenage and Hitchin.
  • A. SG chosen
    SG is a postcode area in the United Kingdom covering parts of Hertfordshire and surrounding regions.
  • B. SG
    SG is the vehicle registration code used on license plates for Spain’s Segovia Province.
  • C. SG
    SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
  • D. SG
    SG is the IATA airline designator assigned to SpiceJet, a major low-cost carrier based in India.
  • E. SG
    SG (Sanspareils Greenlands) is a prominent Indian sports equipment manufacturer best known for its high-quality cricket gear, including bats, balls, and protective equipment.
  • F. None of above.

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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f7e4f8081908e0f876ad962c932 completed March 31, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde78855908190a87a0d3456c0e8ef completed April 2, 2026, 3:50 a.m.
NEDg Description generation batch_69cdebf81adc81908feb7b19b5b151c3 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cdecc83e408190b9ba1dc8acf5081b completed April 2, 2026, 4:12 a.m.
Created at: March 30, 2026, 5:56 p.m.