Triple

T4272182
Position Surface form Disambiguated ID Type / Status
Subject Parker Dam E96965 entity
Predicate locatedNear P294 FINISHED
Object Parker, Arizona E269777 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: Parker, Arizona | Statement: [Parker Dam, locatedNear, Parker, Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parker, Arizona
Context triple: [Parker Dam, locatedNear, Parker, Arizona]
  • A. Parker, Arizona chosen
    Parker, Arizona is a small town on the Colorado River in western Arizona, known as the county seat of La Paz County and a hub for river recreation and desert tourism.
  • B. Parks, Arizona
    Parks, Arizona is a small unincorporated community in northern Arizona, located between Flagstaff and Williams along historic Route 66.
  • C. 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.
  • D. Williams, Arizona
    Williams, Arizona is a small historic Route 66 town in northern Arizona that serves as a popular gateway and staging point for visitors traveling to the Grand Canyon.
  • E. Peoria, Arizona
    Peoria, Arizona is a suburban city in the Phoenix metropolitan area known for hosting Major League Baseball spring training and offering a mix of residential communities, parks, and desert landscapes.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ffce3d8819083d2278547fa52c1 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd36a7c9c81908f325bc8a53db0c8 completed March 20, 2026, 11:08 p.m.
Created at: March 12, 2026, 11:07 p.m.