Triple

T1704737
Position Surface form Disambiguated ID Type / Status
Subject Basic Law for the Federal Republic of Germany E36845 entity
Predicate hasAbbreviation P43 FINISHED
Object GG
GG is the standard abbreviation for Germany’s constitution, the Basic Law for the Federal Republic of Germany.
E194672 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: GG | Statement: [Basic Law for the Federal Republic of Germany, hasAbbreviation, GG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GG
Context triple: [Basic Law for the Federal Republic of Germany, hasAbbreviation, GG]
  • A. GG
    GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
  • B. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • C. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • D. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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: GG
Triple: [Basic Law for the Federal Republic of Germany, hasAbbreviation, GG]
Generated description
GG is the standard abbreviation for Germany’s constitution, the Basic Law for the Federal Republic of Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GG
Target entity description: GG is the standard abbreviation for Germany’s constitution, the Basic Law for the Federal Republic of Germany.
  • A. GG
    GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
  • B. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • C. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • D. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62f3a5a08190a2b90d9492c3192e completed March 6, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8acf74848190a18e41988647edcd completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad979b7f2c819094c907bed705db3b completed March 8, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69ad9831a87c819089fc3b590ab7ecb2 completed March 8, 2026, 3:39 p.m.
Created at: March 4, 2026, 7:30 p.m.