Triple

T2420162
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles Basin E53399 entity
Predicate contains P35 FINISHED
Object Vernon
Vernon is a small, heavily industrial city located just south of downtown Los Angeles in Southern California.
 E266616 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: Vernon | Statement: [Los Angeles Basin, contains, Vernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vernon
Context triple: [Los Angeles Basin, contains, Vernon]
  • A. Vernon
    Vernon is a town in northern France on the Seine River, known for its picturesque setting that attracted artists such as Pierre Bonnard.
  • B. Linwood
    Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow area.
  • C. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • D. Winslow
    Winslow is an English-origin surname historically associated with early colonial families in New England.
  • E. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • 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: Vernon
Triple: [Los Angeles Basin, contains, Vernon]
Generated description
Vernon is a small, heavily industrial city located just south of downtown Los Angeles in Southern California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vernon
Target entity description: Vernon is a small, heavily industrial city located just south of downtown Los Angeles in Southern California.
  • A. Vernon
    Vernon is a town in northern France on the Seine River, known for its picturesque setting that attracted artists such as Pierre Bonnard.
  • B. Linwood
    Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow area.
  • C. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • D. Winslow
    Winslow is an English-origin surname historically associated with early colonial families in New England.
  • E. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc96f97e08190978b2d873ab88859 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf57b0708190bf4d38c51e02309f completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec495e4e88190a1b9929161aba193 completed March 9, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_69aec570ec88819089a2afc42aec1088 completed March 9, 2026, 1:04 p.m.
Created at: March 6, 2026, 9:42 p.m.