Triple

T10724874
Position Surface form Disambiguated ID Type / Status
Subject Coastal Empire region E252914 entity
Predicate hasMajorCity P316 FINISHED
Object Pooler, Georgia E156723 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: Pooler, Georgia | Statement: [Coastal Empire region, hasMajorCity, Pooler, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pooler, Georgia
Context triple: [Coastal Empire region, hasMajorCity, Pooler, Georgia]
  • A. Pooler, Georgia chosen
    Pooler, Georgia is a rapidly growing suburban city in Chatham County known for its proximity to Savannah and its retail, residential, and industrial development.
  • B. Pavo, Georgia
    Pavo, Georgia is a small rural community in southern Georgia known for its agricultural surroundings and small-town character.
  • C. Odum, Georgia
    Odum, Georgia is a small town in southeastern Georgia, United States, located in Wayne County.
  • D. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • E. Hiawassee, Georgia
    Hiawassee, Georgia is a small mountain town in northern Georgia known for its scenic location on Lake Chatuge and proximity to the Appalachian Mountains.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d473cfc8190b0ea6dbec14ee070 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22848ee881908e9d89f21252ef7d completed April 14, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:14 p.m.