Triple

T3380945
Position Surface form Disambiguated ID Type / Status
Subject Alfred Tarski E71180 entity
Predicate workLocation P7 FINISHED
Object Berkeley, California E22332 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: Berkeley, California | Statement: [Alfred Tarski, workLocation, Berkeley, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkeley, California
Context triple: [Alfred Tarski, workLocation, Berkeley, California]
  • A. Berkeley
    Berkeley is a suburb in the Wollongong region of New South Wales, Australia, known for its residential character near Lake Illawarra.
  • B. Berkeley chosen
    Berkeley is a culturally vibrant and politically progressive city in California’s San Francisco Bay Area, known for its historic association with higher education and social activism.
  • C. Berkeley
    Berkeley is a small village in Providence County, Rhode Island, known primarily as a local residential community within the town of Cumberland.
  • D. Stanford, California
    Stanford, California is an unincorporated community in Santa Clara County best known as the home of Stanford University and its surrounding campus.
  • E. Alameda, California
    Alameda, California is a Bay Area island city adjacent to Oakland known for its historic Victorian architecture, waterfront parks, and residential neighborhoods.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5e7c7f48190afb78c311b424c93 completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3739e9c588190b04b041564c1272d completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:14 p.m.