Triple

T13764195
Position Surface form Disambiguated ID Type / Status
Subject Habersham County E330693 entity
Predicate containsSettlement P847 FINISHED
Object Cornelia E1064157 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: Cornelia | Statement: [Habersham County, containsSettlement, Cornelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cornelia
Context triple: [Habersham County, containsSettlement, Cornelia]
  • A. Cornelia chosen
    Cornelia is a small city in northeastern Georgia that serves as a local commercial and cultural hub for Habersham County.
  • B. Cornelia
    Cornelia is a feminine given name of Latin origin, historically associated with several notable women in European history.
  • C. Erminia
    Erminia is a compassionate and conflicted princess in Torquato Tasso’s epic poem "Gerusalemme liberata," known for her unrequited love for the Christian knight Tancredi and her dramatic flight from the battlefield.
  • D. Lollia
    Lollia was the family name (nomen) of the ancient Roman gens Lollia, to which the noblewoman Lollia Paulina belonged.
  • E. Annia
    Annia was a Roman noblewoman of the late Republic, best known as the wife of the powerful consul and populist leader Lucius Cornelius Cinna.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de022690ac8190bd5410ecc659a2a7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e152ac8190b8d705295df4834a completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:10 p.m.