Triple

T210539
Position Surface form Disambiguated ID Type / Status
Subject German Council of Science and Humanities E4707 entity
Predicate shortName P43 FINISHED
Object WR
WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
 E26860 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: WR | Statement: [German Council of Science and Humanities, shortName, WR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WR
Context triple: [German Council of Science and Humanities, shortName, WR]
  • A. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • B. TW
    TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
  • C. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • D. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • E. We
    "We" is Charles Lindbergh’s autobiographical account of his historic 1927 solo nonstop flight across the Atlantic and the events surrounding it.
  • 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: WR
Triple: [German Council of Science and Humanities, shortName, WR]
Generated description
WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WR
Target entity description: WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
  • A. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • B. TW
    TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
  • C. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • D. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • E. We
    "We" is Charles Lindbergh’s autobiographical account of his historic 1927 solo nonstop flight across the Atlantic and the events surrounding it.
  • 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c2ead8481909996042efcae5e9d completed Feb. 28, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a332c9e99081909026bf5bfeb6c86c completed Feb. 28, 2026, 6:24 p.m.
NEDg Description generation batch_69a33326c71c81908c02320901915ce3 completed Feb. 28, 2026, 6:25 p.m.
NED2 Entity disambiguation (via description) batch_69a3338948808190b6fd60524c721fd5 completed Feb. 28, 2026, 6:27 p.m.
Created at: Feb. 28, 2026, 2:52 a.m.