Triple

T10656922
Position Surface form Disambiguated ID Type / Status
Subject Canyon Lake E251112 entity
Predicate locatedNear P294 FINISHED
Object Menifee E149107 NE FINISHED

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: Menifee | Statement: [Canyon Lake, locatedNear, Menifee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Menifee
Context triple: [Canyon Lake, locatedNear, Menifee]
  • A. Menifee chosen
    Menifee is a rapidly growing suburban city in Southern California known for its residential communities and proximity to major Inland Empire urban centers.
  • B. Colusa
    Colusa is a small agricultural city in California’s Sacramento Valley, known for its historic downtown and proximity to the Sacramento River.
  • C. Richland
    Richland is a small historic town in Baker County, Oregon, known for its rural character and proximity to outdoor recreation in the Powder River valley.
  • D. Glenpool
    Glenpool is a suburban city in northeastern Oklahoma, known as part of the Tulsa metropolitan area and historically associated with early oil discoveries in the region.
  • E. Kanesville
    Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e0157dbc81909ef7d61f65b2fd93 completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a7aa490819094c7eaf3fc5e2c43 completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:07 p.m.