Triple

T2148383
Position Surface form Disambiguated ID Type / Status
Subject Evangelical Church of Hesse and Nassau E47122 entity
Predicate abbreviation P43 FINISHED
Object EKHN
EKHN is a regional Protestant church body in Germany, formally known as the Evangelical Church of Hesse and Nassau and belonging to the Evangelical Church in Germany (EKD).
 E238951 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: EKHN | Statement: [Evangelical Church of Hesse and Nassau, abbreviation, EKHN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EKHN
Context triple: [Evangelical Church of Hesse and Nassau, abbreviation, EKHN]
  • A. EK
    EK is the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • B. Ekuanitshit
    Ekuanitshit is an Innu First Nations community in Quebec, Canada, known for its strong preservation of Innu culture, language, and traditional land-based practices.
  • C. EKiR
    EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • D. Waset
    Waset was the ancient Egyptian city known in Greek as Thebes, a major religious and political center along the Nile.
  • E. EHN3
    EHN3 is a large experimental hall in CERN’s North Area used primarily for fixed-target and test-beam particle physics experiments.
  • 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: EKHN
Triple: [Evangelical Church of Hesse and Nassau, abbreviation, EKHN]
Generated description
EKHN is a regional Protestant church body in Germany, formally known as the Evangelical Church of Hesse and Nassau and belonging to the Evangelical Church in Germany (EKD).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EKHN
Target entity description: EKHN is a regional Protestant church body in Germany, formally known as the Evangelical Church of Hesse and Nassau and belonging to 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. Ekuanitshit
    Ekuanitshit is an Innu First Nations community in Quebec, Canada, known for its strong preservation of Innu culture, language, and traditional land-based practices.
  • C. EKiR
    EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • D. Waset
    Waset was the ancient Egyptian city known in Greek as Thebes, a major religious and political center along the Nile.
  • E. EHN3
    EHN3 is a large experimental hall in CERN’s North Area used primarily for fixed-target and test-beam particle physics experiments.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe44d2608190986467d43ee224d4 completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58d9c52081909f6acb0558369310 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae59892b848190a9cc8b086647ff14 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a02404c819088acf7c592cb2cae completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:44 p.m.