Triple

T4075213
Position Surface form Disambiguated ID Type / Status
Subject Ring of Christian Democratic Students E86747 entity
Predicate shortName P43 FINISHED
Object RCDS
RCDS is a German student organization aligned with Christian democratic values and politics.
 E411432 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: RCDS | Statement: [Ring of Christian Democratic Students, shortName, RCDS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RCDS
Context triple: [Ring of Christian Democratic Students, shortName, RCDS]
  • A. RCM
    RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
  • B. RCSA
    RCSA is the commonly used abbreviation for RC Strasbourg Alsace, a professional football club based in Strasbourg, France.
  • C. RCN
    RCN is the commonly used abbreviation for the Research Council of Norway, the national body responsible for funding and promoting research and innovation in Norway.
  • D. RCN
    RCN is the abbreviation for the Royal Canadian Navy, the maritime warfare branch of Canada’s armed forces.
  • E. RCG
    RCG is the abbreviated name for RCG Productions, a media production company.
  • 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: RCDS
Triple: [Ring of Christian Democratic Students, shortName, RCDS]
Generated description
RCDS is a German student organization aligned with Christian democratic values and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RCDS
Target entity description: RCDS is a German student organization aligned with Christian democratic values and politics.
  • A. RCM
    RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
  • B. RCSA
    RCSA is the commonly used abbreviation for RC Strasbourg Alsace, a professional football club based in Strasbourg, France.
  • C. RCN
    RCN is the commonly used abbreviation for the Research Council of Norway, the national body responsible for funding and promoting research and innovation in Norway.
  • D. RCN
    RCN is the abbreviation for the Royal Canadian Navy, the maritime warfare branch of Canada’s armed forces.
  • E. RCG
    RCG is the abbreviated name for RCG Productions, a media production company.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc25e2e08190b3c048e1b8f85bbf completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562bc05948190a9ad709768420588 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b563b5cc108190bb9684abafa608af completed March 14, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69b5646606f08190930451ac372154cd completed March 14, 2026, 1:36 p.m.
Created at: March 9, 2026, 3:39 p.m.