Triple

T13619282
Position Surface form Disambiguated ID Type / Status
Subject Imperial E325404 entity
Predicate setIn P1393 FINISHED
Object Imperial County, California E27589 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: Imperial County, California | Statement: [Imperial, setIn, Imperial County, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imperial County, California
Context triple: [Imperial, setIn, Imperial County, California]
  • A. Imperial County chosen
    Imperial County is a largely agricultural and desert county in southeastern California, bordering Mexico and known for the Imperial Valley and the Salton Sea.
  • B. Torrance County
    Torrance County is a largely rural county in central New Mexico known for its high plains landscape and small, dispersed communities.
  • C. San Bernardino County
    San Bernardino County is a large county in Southern California known for its vast desert landscapes, portions of the Mojave Desert, and rapidly growing urban and suburban communities.
  • D. Mariposa County
    Mariposa County is a rural county in central California best known as the gateway to much of Yosemite National Park and the Sierra Nevada.
  • E. Ventura County
    Ventura County is a coastal county in Southern California known for its agricultural production, beaches, and suburban communities northwest of Los Angeles.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0ae77e0819081e3b14642460dc6 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa0b81c819094e2fa209ef9857c completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.