Triple

T4021342
Position Surface form Disambiguated ID Type / Status
Subject Google Scholar E91284 entity
Predicate hasAbbreviation P43 FINISHED
Object GS
GS is the commonly used abbreviation for Google Scholar, a freely accessible web search engine that indexes scholarly literature across many disciplines and formats.
 E407022 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: GS | Statement: [Google Scholar, hasAbbreviation, GS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GS
Context triple: [Google Scholar, hasAbbreviation, GS]
  • A. GS
    GS is the vehicle registration code used on license plates for the district of Goslar in Lower Saxony, Germany.
  • B. GS
    GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
  • C. GS
    GS is the New York Stock Exchange ticker symbol for Goldman Sachs, a leading global investment banking, securities, and asset management firm.
  • D. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • E. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • 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: GS
Triple: [Google Scholar, hasAbbreviation, GS]
Generated description
GS is the commonly used abbreviation for Google Scholar, a freely accessible web search engine that indexes scholarly literature across many disciplines and formats.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GS
Target entity description: GS is the commonly used abbreviation for Google Scholar, a freely accessible web search engine that indexes scholarly literature across many disciplines and formats.
  • A. GS
    GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
  • B. GS
    GS is the vehicle registration code used on license plates for the district of Goslar in Lower Saxony, Germany.
  • C. GS
    GS is the New York Stock Exchange ticker symbol for Goldman Sachs, a leading global investment banking, securities, and asset management firm.
  • D. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • E. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefacb4c208190b8dd595a534850b2 completed March 9, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c7fd474819097766194ca8d165d completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54dd51ef48190974bb190d32016bc completed March 14, 2026, noon
NED2 Entity disambiguation (via description) batch_69b54e498320819088fea96b83564c69 completed March 14, 2026, 12:02 p.m.
Created at: March 9, 2026, 3:35 p.m.