Triple

T2168370
Position Surface form Disambiguated ID Type / Status
Subject Evangelical Church in Central Germany E46963 entity
Predicate abbreviation P43 FINISHED
Object EKM
EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
 E239737 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: EKM | Statement: [Evangelical Church in Central Germany, abbreviation, EKM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EKM
Context triple: [Evangelical Church in Central Germany, abbreviation, EKM]
  • A. EK
    EK is the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • B. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • C. EKiR
    EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • D. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • E. GEKUT
    GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
  • 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: EKM
Triple: [Evangelical Church in Central Germany, abbreviation, EKM]
Generated description
EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EKM
Target entity description: EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
  • A. EK
    EK is the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • B. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • C. EKiR
    EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • D. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • E. GEKUT
    GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeadaed481908d6afa942d7155b8 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f26334819095202544d37e6850 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae5a2055488190855ac173d1e3ad11 completed March 9, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a810b588190a1bb538be46b2010 completed March 9, 2026, 5:28 a.m.
Created at: March 4, 2026, 7:45 p.m.