Triple

T6847156
Position Surface form Disambiguated ID Type / Status
Subject Meridian E157925 entity
Predicate neighboringCity P988 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: [Meridian, neighboringCity, Nampa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nampa
Context triple: [Meridian, neighboringCity, 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7cd0e64819097c9c211df8bce54 completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c769ee07308190abfd1d59ecb4db21 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:20 p.m.