Triple

T6519358
Position Surface form Disambiguated ID Type / Status
Subject German National Library E148341 entity
Predicate abbreviation P43 FINISHED
Object GND
GND is a standardized authority file system used in German-speaking countries to uniquely identify and organize information about persons, organizations, works, and subjects in library and archival catalogs.
 E605010 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: GND | Statement: [German National Library, abbreviation, GND]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GND
Context triple: [German National Library, abbreviation, GND]
  • A. GND
    GND is the IATA airport code for Maurice Bishop International Airport, the main international gateway to Grenada in the Caribbean.
  • B. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • C. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • D. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • E. ND
    ND is the commonly used abbreviation for New Democracy, a major center-right political party in Greece.
  • 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: GND
Triple: [German National Library, abbreviation, GND]
Generated description
GND is a standardized authority file system used in German-speaking countries to uniquely identify and organize information about persons, organizations, works, and subjects in library and archival catalogs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GND
Target entity description: GND is a standardized authority file system used in German-speaking countries to uniquely identify and organize information about persons, organizations, works, and subjects in library and archival catalogs.
  • A. GND
    GND is the IATA airport code for Maurice Bishop International Airport, the main international gateway to Grenada in the Caribbean.
  • B. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • C. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • D. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • E. ND
    ND is the commonly used abbreviation for New Democracy, a major center-right political party in Greece.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac11d0e481908103c4b51de9521e completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d51af5308190928c97ceb5d5fa2d completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6d9af148190ad9cd2cc31a70bb7 completed March 27, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6d98506b88190aae3b4d887744648 completed March 27, 2026, 7:24 p.m.
Created at: March 27, 2026, 1:44 p.m.