Triple

T9731453
Position Surface form Disambiguated ID Type / Status
Subject Lee County, Georgia E235751 entity
Predicate locatedNear P294 FINISHED
Object Albany, Georgia E36976 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: Albany, Georgia | Statement: [Lee County, Georgia, locatedNear, Albany, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albany, Georgia
Context triple: [Lee County, Georgia, locatedNear, Albany, Georgia]
  • A. Albany, Georgia chosen
    Albany, Georgia is a mid-sized city in southwestern Georgia known as a regional hub for commerce, healthcare, and education along the Flint River.
  • B. Arlington, Georgia
    Arlington, Georgia is a small rural city in the southwestern part of the state known historically for its agricultural economy and tight-knit community.
  • C. Fayetteville, Georgia
    Fayetteville, Georgia is a suburban city south of Atlanta that serves as the county seat of Fayette County and is known for its historic downtown and proximity to major film production studios.
  • D. Argyle, Georgia
    Argyle, Georgia is a small rural town in southern Georgia known for its quiet community and location within Clinch County.
  • E. Blakely, Georgia
    Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb2373c81909139c7a2ff2aa541 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc408b988190980db82fbd93e988 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:22 p.m.