Triple

T2627339
Position Surface form Disambiguated ID Type / Status
Subject Diocese of North Carolina E59148 entity
Predicate abbreviation P43 FINISHED
Object DioNC
DioNC is the commonly used abbreviation for the Episcopal Diocese of North Carolina, a regional jurisdiction of the Episcopal Church in the United States.
 E283527 NE FINISHED

How this triple was built (4 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: DioNC | Statement: [Diocese of North Carolina, abbreviation, DioNC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DioNC
Context triple: [Diocese of North Carolina, abbreviation, DioNC]
  • A. DIUS
    DIUS was a former UK government department responsible for higher education, innovation, and skills policy.
  • B. Diois
    Diois is a mountainous, wine-producing region in southeastern France known for its scenic landscapes and sparkling Clairette de Die wine.
  • C. Dilios
    Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
  • D. DNI
    DNI is the commonly used acronym for the Director of National Intelligence, the head of the U.S. intelligence community.
  • E. DCI
    DCI is a senior rank in the British police force, typically overseeing major criminal investigations and detective units.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DioNC
Triple: [Diocese of North Carolina, abbreviation, DioNC]
Generated description
DioNC is the commonly used abbreviation for the Episcopal Diocese of North Carolina, a regional jurisdiction of the Episcopal Church in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DioNC
Target entity description: DioNC is the commonly used abbreviation for the Episcopal Diocese of North Carolina, a regional jurisdiction of the Episcopal Church in the United States.
  • A. DIUS
    DIUS was a former UK government department responsible for higher education, innovation, and skills policy.
  • B. Diois
    Diois is a mountainous, wine-producing region in southeastern France known for its scenic landscapes and sparkling Clairette de Die wine.
  • C. Dilios
    Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
  • D. DNI
    DNI is the commonly used acronym for the Director of National Intelligence, the head of the U.S. intelligence community.
  • E. DCI
    DCI is a senior rank in the British police force, typically overseeing major criminal investigations and detective units.
  • F. None of above. chosen

Provenance (5 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b3f72c819085e88f1d74495593 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a06c4c81908cc4dca65f2190bd completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af92089ef48190bcc31106e98e3cdf completed March 10, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_69af927bb1d0819081ab11eb4470e28d completed March 10, 2026, 3:39 a.m.
Created at: March 6, 2026, 9:50 p.m.