Triple

T1545354
Position Surface form Disambiguated ID Type / Status
Subject Victor Steinbrueck E32964 entity
Predicate placeOfActivity P1527 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: [Victor Steinbrueck, placeOfActivity, Washington (state)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washington (state)
Context triple: [Victor Steinbrueck, placeOfActivity, Washington (state)]
  • A. 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.
  • B. Washington
    Washington is a common English surname most famously borne by George Washington, the first president of the United States.
  • C. Washington
    Washington is a small rural town in Berkshire County in western Massachusetts, known for its forested landscape and quiet, sparsely populated character.
  • 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. 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90842a4788190a812b48987503624 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69af9893d2048190ac3b36c32f14b63d completed March 10, 2026, 4:05 a.m.
Created at: March 4, 2026, 7:26 p.m.