Triple

T949149
Position Surface form Disambiguated ID Type / Status
Subject Washington E20479 entity
Predicate hasPostalAbbreviation P43 FINISHED
Object WA E20479 NE FINISHED

How this triple was built (2 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: [Washington, hasPostalAbbreviation, WA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WA
Context triple: [Washington, hasPostalAbbreviation, WA]
  • A. WA
    WA is the vehicle registration code used on license plates for cars registered in Warsaw, the capital city of Poland.
  • B. WA
    WA is a UK postcode area covering parts of Warrington and surrounding towns in northwest England.
  • C. Washington chosen
    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.
  • 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. Washington
    Washington is a common English surname most famously borne by George Washington, the first president of the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3bf9bb88190a79b2db698613a8d completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c017e148190b368419cff3872f6 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:40 p.m.