Triple

T2014964
Position Surface form Disambiguated ID Type / Status
Subject Community of Protestant Churches in Europe E43773 entity
Predicate shortName P43 FINISHED
Object GEKE
GEKE is the German abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches committed to mutual recognition and cooperation across the continent.
 E226258 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: GEKE | Statement: [Community of Protestant Churches in Europe, shortName, GEKE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GEKE
Context triple: [Community of Protestant Churches in Europe, shortName, GEKE]
  • A. GEKUT
    GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
  • B. GE
    GE is the Swiss canton code for Geneva, a major city and canton in western Switzerland known for its international organizations and financial center.
  • C. GE
    GE is the ISO 3166-1 alpha-2 country code for Georgia, a nation at the crossroads of Eastern Europe and Western Asia.
  • D. CH-GE
    CH-GE is the ISO 3166-2 code representing the Canton of Geneva in Switzerland.
  • E. GoldStar
    GoldStar was the original brand name of the South Korean electronics company now known as LG Electronics, under which it produced a wide range of consumer electronics and home appliances.
  • 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: GEKE
Triple: [Community of Protestant Churches in Europe, shortName, GEKE]
Generated description
GEKE is the German abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches committed to mutual recognition and cooperation across the continent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GEKE
Target entity description: GEKE is the German abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches committed to mutual recognition and cooperation across the continent.
  • A. GEKUT
    GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
  • B. GE
    GE is the Swiss canton code for Geneva, a major city and canton in western Switzerland known for its international organizations and financial center.
  • C. GE
    GE is the ISO 3166-1 alpha-2 country code for Georgia, a nation at the crossroads of Eastern Europe and Western Asia.
  • D. CH-GE
    CH-GE is the ISO 3166-2 code representing the Canton of Geneva in Switzerland.
  • E. GoldStar
    GoldStar was the original brand name of the South Korean electronics company now known as LG Electronics, under which it produced a wide range of consumer electronics and home appliances.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b610a88190bc10fd7dda19da08 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aeca6388190befe0630d44de109 completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0bb8b34c81908f817bb1fbcb1873 completed March 8, 2026, 11:52 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c20aaf48190852334f9c76d0d18 completed March 8, 2026, 11:54 p.m.
Created at: March 4, 2026, 7:37 p.m.