Triple

T1833117
Position Surface form Disambiguated ID Type / Status
Subject Bethany, Oregon E41002 entity
Predicate nearEmploymentCenter P5648 FINISHED
Object Silicon Forest E30894 NE FINISHED

How this triple was built (3 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: Silicon Forest | Statement: [Bethany, Oregon, nearEmploymentCenter, Silicon Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Silicon Forest
Context triple: [Bethany, Oregon, nearEmploymentCenter, Silicon Forest]
  • A. Silicon Forest chosen
    Silicon Forest is a high-tech industry region in and around Portland, Oregon, known for its concentration of electronics, semiconductor, and technology companies.
  • B. Silicon Valley
    Silicon Valley is a globally renowned technology and innovation hub in Northern California, home to many of the world’s leading tech companies and startups.
  • C. Silicon Valley of the North
    "Silicon Valley of the North" is a nickname for Waterloo, Ontario, highlighting its status as a major Canadian hub for technology companies, startups, and innovation.
  • D. Mountain View
    Mountain View is a Silicon Valley city in Northern California best known as a major technology hub and the home of companies like Google.
  • E. Cupertino
    Cupertino is a city in California best known as the longtime headquarters of Apple Inc. and a key hub of the global technology industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nearEmploymentCenter
Context triple: [Bethany, Oregon, nearEmploymentCenter, Silicon Forest]
  • A. near
    Indicates that one entity is located at a short distance from another entity in space or position.
  • B. hasNearbyLandUse
    Indicates that one land area is located close to another area characterized by a specific type of land use.
  • C. hasNearbyFacility chosen
    Indicates that one entity is located close to or in the vicinity of a particular facility.
  • D. hasNearbyInstitution
    Indicates that one entity is located close to or in the immediate vicinity of an institution.
  • E. nearbyCurrent
    Indicates that one entity is located close to another entity at the present moment or in the current context.
  • F. None of above.

Provenance (4 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb32d35508190bf1c487dffbecaf0 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf711c148190ba12d9bc81892095 completed March 8, 2026, 6:26 p.m.
PD Predicate disambiguation batch_69abafd88ebc81908208394746351fe6 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:33 p.m.