Triple

T8824877
Position Surface form Disambiguated ID Type / Status
Subject SG postcode area E209989 entity
Predicate hasPostcodeDistrict P961 FINISHED
Object SG4
SG4 is a postcode district in the SG (Stevenage) postcode area of England, covering parts of Hitchin and surrounding localities in Hertfordshire.
 E760748 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: SG4 | Statement: [SG postcode area, hasPostcodeDistrict, SG4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SG4
Context triple: [SG postcode area, hasPostcodeDistrict, SG4]
  • A. SGH
    SGH is the IATA airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
  • B. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • C. S44
    S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
  • D. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • E. SG
    SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
  • 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: SG4
Triple: [SG postcode area, hasPostcodeDistrict, SG4]
Generated description
SG4 is a postcode district in the SG (Stevenage) postcode area of England, covering parts of Hitchin and surrounding localities in Hertfordshire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SG4
Target entity description: SG4 is a postcode district in the SG (Stevenage) postcode area of England, covering parts of Hitchin and surrounding localities in Hertfordshire.
  • A. SGH
    SGH is the IATA airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
  • B. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • C. S44
    S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
  • D. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • E. SG
    SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc603220508190b64e22dec3ee5ceb completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf894902588190adb60140c64561f6 completed April 3, 2026, 9:32 a.m.
NEDg Description generation batch_69cf8a8c87dc81909d5c0d769341b17c completed April 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69cf8b79a0b48190a29491f5f8f81217 completed April 3, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:46 p.m.