Triple

T4704115
Position Surface form Disambiguated ID Type / Status
Subject Pinal County, Arizona E104347 entity
Predicate locatedBetween P1262 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: [Pinal County, Arizona, locatedBetween, Tucson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tucson
Context triple: [Pinal County, Arizona, locatedBetween, 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. 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. Prescott
    Prescott is a historic city in north-central Arizona known for its Old West heritage, Victorian architecture, and role in the early political development of the state.
  • D. Flagstaff
    Flagstaff is a high-elevation city in northern Arizona known for its proximity to the Grand Canyon, its historic Route 66 corridor, and its role as a center for astronomy and outdoor recreation.
  • E. Mesa, Arizona
    Mesa, Arizona is a large city in the Phoenix metropolitan area known for its desert climate, suburban communities, and role as a major spring training hub for Major League Baseball.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63d1e9c48190bad5f7d68bf0f622 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf486aabac8190a90b4402403078ac completed March 22, 2026, 1:39 a.m.
Created at: March 20, 2026, 1:17 p.m.