Triple

T22519384
Position Surface form Disambiguated ID Type / Status
Subject ASDM E556733 entity
Predicate locatedInCity P40 FINISHED
Object Tucson 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: Tucson | Statement: [ASDM, locatedInCity, Tucson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tucson
Context triple: [ASDM, locatedInCity, 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 (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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e30a96081909b8511d525518da1 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.