Triple

T540948
Position Surface form Disambiguated ID Type / Status
Subject Trafford E12625 entity
Predicate hasPostalCodeArea P920 FINISHED
Object WA
WA is a UK postcode area covering parts of Warrington and surrounding towns in northwest England.
 E118488 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: WA | Statement: [Trafford, hasPostalCodeArea, WA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WA
Context triple: [Trafford, hasPostalCodeArea, WA]
  • A. WA
    WA is the vehicle registration code used on license plates for cars registered in Warsaw, the capital city of Poland.
  • B. Washington
    Washington is a U.S. state in the Pacific Northwest known for its diverse landscapes, technology industry centered around Seattle, and significant cultural and economic influence on the West Coast.
  • C. Washington
    Washington is a common English surname most famously borne by George Washington, the first president of the United States.
  • D. Washington
    Washington is a small town in Dutchess County, New York, known for its rural character and the village of Millbrook within its borders.
  • E. Oregon
    Oregon is a U.S. state in the Pacific Northwest known for its diverse landscapes, including rugged coastline, dense forests, mountains, and high desert, as well as its environmentally conscious culture.
  • 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: WA
Triple: [Trafford, hasPostalCodeArea, WA]
Generated description
WA is a UK postcode area covering parts of Warrington and surrounding towns in northwest England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WA
Target entity description: WA is a UK postcode area covering parts of Warrington and surrounding towns in northwest England.
  • A. WA
    WA is the vehicle registration code used on license plates for cars registered in Warsaw, the capital city of Poland.
  • B. Washington
    Washington is a U.S. state in the Pacific Northwest known for its diverse landscapes, technology industry centered around Seattle, and significant cultural and economic influence on the West Coast.
  • C. Washington
    Washington is a small town in Dutchess County, New York, known for its rural character and the village of Millbrook within its borders.
  • D. Washington
    Washington is a common English surname most famously borne by George Washington, the first president of the United States.
  • E. Oregon
    Oregon is a U.S. state in the Pacific Northwest known for its diverse landscapes, including rugged coastline, dense forests, mountains, and high desert, as well as its environmentally conscious culture.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4985feee481908184a39210feab95 completed March 1, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a03fc748190b14d8fe066902c97 completed March 7, 2026, 1:37 p.m.
NEDg Description generation batch_69ac2b45bea081908fb2e759aa3929e8 completed March 7, 2026, 1:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac2bc404a88190a1b5be6312d1e36b completed March 7, 2026, 1:44 p.m.
Created at: March 1, 2026, 7:32 p.m.