Triple

T22450049
Position Surface form Disambiguated ID Type / Status
Subject The North Face E554965 entity
Predicate headquartersLocation P62 FINISHED
Object Alameda, California 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: Alameda, California | Statement: [The North Face, headquartersLocation, Alameda, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alameda, California
Context triple: [The North Face, headquartersLocation, Alameda, California]
  • A. Alameda, California chosen
    Alameda, California is a Bay Area island city adjacent to Oakland known for its historic Victorian architecture, waterfront parks, and residential neighborhoods.
  • B. Alameda
    Alameda is a major Lisbon metro and transport hub that serves as a key interchange point within the city's public transit network.
  • C. Alameda
    Alameda is the main central avenue of Santiago, Chile, serving as a key thoroughfare and symbolic axis of the city.
  • D. Emeryville, California
    Emeryville, California is a small city in the San Francisco Bay Area best known as the longtime home of Pixar Animation Studios and a hub for tech and creative industries.
  • E. Oakland
    Oakland is a neighborhood on Chicago’s South Side known for its historic residential architecture and proximity to the lakefront.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4ae8a08190ba6027f036ce62af completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.