Triple

T26146739
Position Surface form Disambiguated ID Type / Status
Subject Prescott and Russell E659689 entity
Predicate regionType P1828 FINISHED
Object largely agricultural LITERAL FINISHED

How this triple was built (1 step)

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: largely agricultural | Statement: [Prescott and Russell, regionType, largely agricultural]

Provenance (2 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_69ee5bc496a88190af7deb7ab5e081de completed April 26, 2026, 6:39 p.m.
NER Named-entity recognition batch_69f60be8bd208190b08271f84710afca completed May 2, 2026, 2:36 p.m.
Created at: April 26, 2026, 8:23 p.m.