Triple

T5834467
Position Surface form Disambiguated ID Type / Status
Subject Pima County, Arizona E129433 entity
Predicate contains P35 FINISHED
Object Ajo, Arizona E406407 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: Ajo, Arizona | Statement: [Pima County, Arizona, contains, Ajo, Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ajo, Arizona
Context triple: [Pima County, Arizona, contains, Ajo, Arizona]
  • A. Ajo, Arizona chosen
    Ajo, Arizona is a small historic mining town in southern Arizona that now serves as a gateway community to nearby desert wilderness areas and wildlife refuges.
  • B. LeChee, Arizona
    LeChee, Arizona is a small unincorporated community and Navajo Nation chapter located near Page in northern Arizona.
  • C. Tsaile, Arizona
    Tsaile, Arizona is a small Navajo Nation community in Apache County known primarily as the home of Diné College and its scenic high-desert surroundings.
  • D. Willcox, Arizona
    Willcox, Arizona is a small city in southeastern Arizona known for its historic railroad roots, nearby Chiricahua National Monument, and growing wine industry.
  • E. Eloy, Arizona
    Eloy, Arizona is a small city in south-central Arizona known for its desert landscape, skydiving centers, and location between Phoenix and Tucson.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a1e6a88190b1aac05511793315 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a193ac408190a06159406a814adb completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.