Triple

T17995180
Position Surface form Disambiguated ID Type / Status
Subject Arizona State Route 101 E430482 entity
Predicate passesThrough P225 FINISHED
Object Tempe, Arizona NE NERFINISHED

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: Tempe, Arizona | Statement: [Arizona State Route 101, passesThrough, Tempe, Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tempe, Arizona
Context triple: [Arizona State Route 101, passesThrough, Tempe, Arizona]
  • A. Tempe
    Tempe is a locality within Saint George Parish on the Caribbean island nation of Grenada.
  • B. Tempe
    Tempe is a city in the Phoenix metropolitan area of Arizona, known for being home to Arizona State University and its vibrant college-town atmosphere.
  • C. Tempe
    Tempe is a town in South Sulawesi, Indonesia, serving as the administrative center of Wajo Regency.
  • D. Tempe, Arizona, USA chosen
    Tempe, Arizona, USA is a vibrant city in the Phoenix metropolitan area best known as the home of Arizona State University and a major center for education, research, and technology.
  • E. Phoenix, Arizona
    Phoenix, Arizona is the capital and largest city of the U.S. state of Arizona, known for its desert climate, sprawling metropolitan area, and role as a major economic and cultural center of the American Southwest.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e3b060819086855bc01aceb42a completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.