Triple

T6040286
Position Surface form Disambiguated ID Type / Status
Subject Boise metropolitan area E134525 entity
Predicate hasCity P316 FINISHED
Object Nampa E157924 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: Nampa | Statement: [Boise metropolitan area, hasCity, Nampa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nampa
Context triple: [Boise metropolitan area, hasCity, Nampa]
  • A. Nampa chosen
    Nampa is a rapidly growing city in southwestern Idaho, known as part of the Boise metropolitan area and a regional center for agriculture, manufacturing, and transportation.
  • B. Boise City
    Boise City is a small rural city in the Oklahoma Panhandle known for its agricultural economy and its distinction as one of the few U.S. towns bombed during World War II (in a training accident).
  • C. Pocatello
    Pocatello is a city in southeastern Idaho known as a regional hub for education, commerce, and transportation.
  • D. Twin Falls
    Twin Falls is a spectacular multi-tiered waterfall and popular natural attraction located within Kakadu National Park in Australia’s Northern Territory.
  • E. Boise
    Boise is the capital and largest city of Idaho, known for its vibrant downtown, outdoor recreation opportunities, and role as the cultural and economic center of the region.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056cf82d481909d5161fe3643e7ed completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d4499dc8190943486cf1af83f0a completed March 24, 2026, 4:04 a.m.
Created at: March 22, 2026, 4:08 p.m.