Triple

T19791139
Position Surface form Disambiguated ID Type / Status
Subject Bay Area freeway system E475410 entity
Predicate connects P390 FINISHED
Object Fremont NE NERFINISHED

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: Fremont | Statement: [Bay Area freeway system, connects, Fremont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fremont
Context triple: [Bay Area freeway system, connects, Fremont]
  • A. Fremont chosen
    Fremont is a large suburban city in the San Francisco Bay Area known for its diverse population, tech industry presence, and proximity to Silicon Valley.
  • B. Fremont
    Fremont is a vibrant, artsy neighborhood in Seattle known for its public art, quirky landmarks, and lively cultural scene.
  • C. Fremont
    Fremont is a city in eastern Nebraska known for its small-college atmosphere, historic downtown, and role as a regional hub near Omaha.
  • D. Natomas
    Natomas is a large, fast-growing residential and commercial district in northwestern Sacramento, California, known for its suburban neighborhoods, shopping centers, and proximity to downtown and the airport.
  • E. Sacramento
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c217bc819092c517b27ca22087 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.