Triple

T1469127
Position Surface form Disambiguated ID Type / Status
Subject Ventura County E27093 entity
Predicate hasCity P316 FINISHED
Object Ojai
Ojai is a small, scenic city in Southern California known for its arts community, boutique tourism, and surrounding mountains and orange groves.
E222846 NE FINISHED

How this triple was built (4 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: Ojai | Statement: [Ventura County, hasCity, Ojai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ojai
Context triple: [Ventura County, hasCity, Ojai]
  • A. Morgan Hill
    Morgan Hill is a suburban city in California’s Silicon Valley region, known for its affluent residential communities, wineries, and proximity to high-tech industry centers.
  • B. Perris
    Perris is a small city in Southern California known for its skydiving, hot-air ballooning, and proximity to Lake Perris State Recreation Area.
  • C. Shafter
    Shafter is a surname most notably associated with William R. Shafter, a U.S. Army general who served in the American Civil War and the Spanish–American War.
  • D. Shafter
    Shafter is a small agricultural city in California’s San Joaquin Valley, located northwest of Bakersfield.
  • E. Murrieta
    Murrieta is a rapidly growing suburban city in Southern California known for its family-friendly neighborhoods and proximity to major regional employment centers.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ojai
Triple: [Ventura County, hasCity, Ojai]
Generated description
Ojai is a small, scenic city in Southern California known for its arts community, boutique tourism, and surrounding mountains and orange groves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ojai
Target entity description: Ojai is a small, scenic city in Southern California known for its arts community, boutique tourism, and surrounding mountains and orange groves.
  • A. Morgan Hill
    Morgan Hill is a suburban city in California’s Silicon Valley region, known for its affluent residential communities, wineries, and proximity to high-tech industry centers.
  • B. Perris
    Perris is a small city in Southern California known for its skydiving, hot-air ballooning, and proximity to Lake Perris State Recreation Area.
  • C. Shafter
    Shafter is a surname most notably associated with William R. Shafter, a U.S. Army general who served in the American Civil War and the Spanish–American War.
  • D. Shafter
    Shafter is a small agricultural city in California’s San Joaquin Valley, located northwest of Bakersfield.
  • E. Murrieta
    Murrieta is a rapidly growing suburban city in Southern California known for its family-friendly neighborhoods and proximity to major regional employment centers.
  • F. None of above. chosen

Provenance (5 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5d8bb68819095b7b413247ad657 completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae02f8483c8190a72c79f5b60eb927 completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae03e575a88190a93181eb9d9bc3eb completed March 8, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69ae0473aecc8190b3da07fb8fd18e81 completed March 8, 2026, 11:21 p.m.
Created at: March 1, 2026, 8:01 p.m.