Triple

T15329276
Position Surface form Disambiguated ID Type / Status
Subject Southern Idaho E366490 entity
Predicate hasMajorCity 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: [Southern Idaho, hasMajorCity, Nampa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nampa
Context triple: [Southern Idaho, hasMajorCity, 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 scenic dual-drop waterfall located within Oregon’s Silver Falls State Park, known for its lush forest surroundings and popular hiking access.
  • E. Twin Falls
    Twin Falls is a scenic waterfall and popular hiking destination within Springbrook National Park in Queensland, Australia.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dffd6f88190a0f031ee90c6a7d2 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3f8eac81908489baeb4cb6bb53 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:16 a.m.