Triple

T830140
Position Surface form Disambiguated ID Type / Status
Subject Penutian languages E17945 entity
Predicate spokenIn P2266 FINISHED
Object Washington (state) 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: Washington (state) | Statement: [Penutian languages, spokenIn, Washington (state)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washington (state)
Context triple: [Penutian languages, spokenIn, Washington (state)]
  • A. Washington
    Washington is a common English surname most famously borne by George Washington, the first president of the United States.
  • B. 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.
  • 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 small rural town in Berkshire County in western Massachusetts, known for its forested landscape and quiet, sparsely populated character.
  • E. Olympia
    Olympia is an ancient sanctuary in Greece renowned as a major religious center dedicated to Zeus and the original site of the Olympic Games.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abb384988190949d2df65662f76d completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69adbf2ffb088190a49686609d7de213 completed March 8, 2026, 6:25 p.m.
Created at: March 1, 2026, 7:38 p.m.