Triple

T2769650
Position Surface form Disambiguated ID Type / Status
Subject Confessional Evangelical Lutheran Conference E61422 entity
Predicate hasAbbreviation P43 FINISHED
Object CELC
CELC is an international association of conservative Lutheran church bodies that share a common confessional stance based on the Lutheran Confessions.
 E297878 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: CELC | Statement: [Confessional Evangelical Lutheran Conference, hasAbbreviation, CELC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CELC
Context triple: [Confessional Evangelical Lutheran Conference, hasAbbreviation, CELC]
  • A. CLCS
    CLCS is a United Nations body of experts that evaluates and makes recommendations on coastal states’ claims to the outer limits of their continental shelves under the UN Convention on the Law of the Sea.
  • B. CEB
    CEB is the acronym for the United Nations Chief Executives Board for Coordination, the highest-level coordination forum of the UN system’s executive heads.
  • C. CLE
    CLE is the standard abbreviation used for the Cleveland Monsters, a professional ice hockey team in the American Hockey League.
  • D. CL
    CL is the common abbreviation for Japan’s professional baseball Central League.
  • E. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • 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: CELC
Triple: [Confessional Evangelical Lutheran Conference, hasAbbreviation, CELC]
Generated description
CELC is an international association of conservative Lutheran church bodies that share a common confessional stance based on the Lutheran Confessions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CELC
Target entity description: CELC is an international association of conservative Lutheran church bodies that share a common confessional stance based on the Lutheran Confessions.
  • A. CLCS
    CLCS is a United Nations body of experts that evaluates and makes recommendations on coastal states’ claims to the outer limits of their continental shelves under the UN Convention on the Law of the Sea.
  • B. CEB
    CEB is the acronym for the United Nations Chief Executives Board for Coordination, the highest-level coordination forum of the UN system’s executive heads.
  • C. CLE
    CLE is the standard abbreviation used for the Cleveland Monsters, a professional ice hockey team in the American Hockey League.
  • D. CL
    CL is the common abbreviation for Japan’s professional baseball Central League.
  • E. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd690b24819095647dd4a4f902bb completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04dc7808190bb8425ed87cf74c0 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc11fa5ec8190a0b495f6b71591ab completed March 10, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_69afc1f734dc8190a4861b05583f7018 completed March 10, 2026, 7:02 a.m.
Created at: March 6, 2026, 9:57 p.m.