Triple

T11184840
Position Surface form Disambiguated ID Type / Status
Subject Glascock County, Georgia E264636 entity
Predicate largestCity P235 FINISHED
Object Gibson, Georgia E910259 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: Gibson, Georgia | Statement: [Glascock County, Georgia, largestCity, Gibson, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gibson, Georgia
Context triple: [Glascock County, Georgia, largestCity, Gibson, Georgia]
  • A. Gibson, Georgia chosen
    Gibson, Georgia is a small rural city in east-central Georgia that serves as the administrative and cultural hub of Glascock County.
  • B. Guyton, Georgia
    Guyton, Georgia is a small city in southeastern Georgia known for its historic charm and role as a residential community within the Savannah metropolitan area.
  • C. Williamson, Georgia
    Williamson, Georgia is a small rural city located in Pike County in the west-central part of the U.S. state of Georgia.
  • D. Zebulon, Georgia
    Zebulon, Georgia is a small historic city in central Georgia that serves as the administrative and cultural hub of Pike County.
  • E. Bogart, Georgia
    Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8abbeac8190ad6e419258999f4e completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496f195108190a7bc9c8089ffc364 completed April 19, 2026, 8:48 a.m.
Created at: April 8, 2026, 9:29 p.m.