Triple

T6698194
Position Surface form Disambiguated ID Type / Status
Subject Morgan, Georgia E152805 entity
Predicate hasCountySeatStatusSince P26682 FINISHED
Object Calhoun County creation (19th century) LITERAL 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: Calhoun County creation (19th century) | Statement: [Morgan, Georgia, hasCountySeatStatusSince, Calhoun County creation (19th century)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCountySeatStatusSince
Context triple: [Morgan, Georgia, hasCountySeatStatusSince, Calhoun County creation (19th century)]
  • A. countySeatSince chosen
    Indicates that one place has served as the official county seat of a county starting from a specified point in time.
  • B. hasCountySeatCity
    Indicates that a county has a specific city that serves as its official administrative center or county seat.
  • C. hasCountySeatFunction
    Indicates that an entity serves as the official county seat, functioning as the administrative center for a county.
  • D. hasCountySeatCounty
    Indicates that a county seat is administratively associated with and serves as the seat of government for a specific county.
  • E. hasCountySeatFeature
    Indicates that a county has a specific feature serving as its official county seat (administrative center).
  • F. None of above.

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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16897e48190b43eda2206b14d6a completed March 27, 2026, 6:50 p.m.
PD Predicate disambiguation batch_69c6d089c7488190a00853fb12f53b2a completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:05 p.m.