Triple

T11567368
Position Surface form Disambiguated ID Type / Status
Subject Alfred Eichler E274287 entity
Predicate workLocation P7 FINISHED
Object Sacramento E438 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: Sacramento | Statement: [Alfred Eichler, workLocation, Sacramento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sacramento
Context triple: [Alfred Eichler, workLocation, Sacramento]
  • A. Sacramento chosen
    Sacramento is the capital city of the U.S. state of California, known for its role as the state’s political center and its historic roots in the Gold Rush era.
  • B. Fresno
    Fresno is a major agricultural and economic center in California’s San Joaquin Valley, known for its role in the state’s farming industry and its diverse urban population.
  • C. San Francisco
    San Francisco is a coastal neighborhood of the city of Telde in Gran Canaria, Spain, known for its traditional Canarian architecture and historic character.
  • D. San Francisco
    San Francisco is a major coastal city in Northern California known for its hilly landscape, iconic Golden Gate Bridge, and role as a historic center of technology and counterculture.
  • E. San Francisco
    San Francisco is a municipality in Colombia’s Putumayo Department, located in the southwestern part of the country near the Andean and Amazonian regions.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd4305c8190ac5ff490b6b63e12 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8c9a22c8190812c64b9f305ae99 completed April 21, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:37 p.m.