Triple

T6445658
Position Surface form Disambiguated ID Type / Status
Subject Southern Arizona E138335 entity
Predicate hasMajorCity P316 FINISHED
Object Tucson E24712 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: Tucson | Statement: [Southern Arizona, hasMajorCity, Tucson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tucson
Context triple: [Southern Arizona, hasMajorCity, Tucson]
  • A. Tucson chosen
    Tucson is a major city in southern Arizona known for its desert landscape, rich Native American and Mexican cultural influences, and the University of Arizona.
  • B. 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.
  • C. Phoenix, Arizona
    Phoenix, Arizona is the capital and largest city of the U.S. state of Arizona, known for its sprawling metropolitan area, desert climate, and role as a major economic and cultural center of the American Southwest.
  • D. 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.
  • E. Tempe
    Tempe is a town in South Sulawesi, Indonesia, serving as the administrative center of Wajo Regency.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698d866c81909ef3e0a53833ff7d completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c95675f24c81909f9c14e29a79c157 completed March 29, 2026, 4:42 p.m.
Created at: March 22, 2026, 4:46 p.m.