Triple

T143906
Position Surface form Disambiguated ID Type / Status
Subject Carl Sagan E2910 entity
Predicate placeOfDeath P21 FINISHED
Object Seattle E1640 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: Seattle | Statement: [Carl Sagan, placeOfDeath, Seattle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seattle
Context triple: [Carl Sagan, placeOfDeath, Seattle]
  • A. Seattle, Washington, United States chosen
    Seattle, Washington, United States is a major Pacific Northwest city known for its tech industry, vibrant cultural scene, and iconic landmarks like the Space Needle.
  • B. Spokane, Washington
    Spokane, Washington is a major city in eastern Washington State known for its historic downtown, Riverfront Park, and role as a regional economic and cultural hub of the Inland Northwest.
  • C. Tacoma, Washington
    Tacoma, Washington is a mid-sized port city in the Pacific Northwest known for its waterfront, industrial history, and vibrant arts and museum scene.
  • D. Everett
    Everett is a surname of English origin borne by various notable individuals, including American politician and orator Edward Everett.
  • E. Bellevue, Washington, United States
    Bellevue, Washington, United States is a major city in the Seattle metropolitan area known for its thriving tech industry, upscale downtown, and role as a regional business and retail hub.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257caf678819092e975d5167f9df4 completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36ceb0244819092fdbbd095804b83 completed Feb. 28, 2026, 10:32 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.