Triple

T17568117
Position Surface form Disambiguated ID Type / Status
Subject The Silver Searcher E427869 entity
Predicate hasAbbreviation P43 FINISHED
Object ag
ag is a fast, command-line code-search tool popular among developers for quickly searching large codebases.
E1277127 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: ag | Statement: [The Silver Searcher, hasAbbreviation, ag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ag
Context triple: [The Silver Searcher, hasAbbreviation, ag]
  • A. AG
    AG is an Indonesian vehicle registration code used for motor vehicles registered in certain regions of East Java, including Trenggalek.
  • B. AG
    AG is a common abbreviation for a German-language joint-stock company structure known as "Aktiengesellschaft."
  • C. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • D. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • E. AG
    AG is the vehicle registration code used on license plates for cars registered in Argeș County, Romania.
  • 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: ag
Triple: [The Silver Searcher, hasAbbreviation, ag]
Generated description
ag is a fast, command-line code-search tool popular among developers for quickly searching large codebases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ag
Target entity description: ag is a fast, command-line code-search tool popular among developers for quickly searching large codebases.
  • A. AG
    AG is an Indonesian vehicle registration code used for motor vehicles registered in certain regions of East Java, including Trenggalek.
  • B. AG
    AG is a common abbreviation for a German-language joint-stock company structure known as "Aktiengesellschaft."
  • C. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • D. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • E. AG
    AG is the common abbreviation for the Christian missions organization To the Nations.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592e56e481909249b831cecc31d5 completed April 19, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01dde400508190ab91b0ccfbffa726 completed May 11, 2026, 1:47 p.m.
NEDg Description generation batch_6a01dfef61fc8190810d31c91195c205 completed May 11, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a01e0a5f2188190b4a8604d197c6ac8 completed May 11, 2026, 1:59 p.m.
Created at: April 10, 2026, 5:50 a.m.