Triple

T8655782
Position Surface form Disambiguated ID Type / Status
Subject Murrieta E205411 entity
Predicate adjacentTo P224 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: [Murrieta, adjacentTo, Menifee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Menifee
Context triple: [Murrieta, adjacentTo, 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4844586081909b687e278496eefa completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecce40c248190b4f2b21a1ecde80b completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:29 p.m.