Triple

T18799800
Position Surface form Disambiguated ID Type / Status
Subject Anti-Grain Geometry E459730 entity
Predicate hasAbbreviation P43 FINISHED
Object AGG
AGG is a high-quality, open-source 2D graphics rendering library known for its precision and anti-aliasing capabilities.
E1342451 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: AGG | Statement: [Anti-Grain Geometry, hasAbbreviation, AGG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AGG
Context triple: [Anti-Grain Geometry, hasAbbreviation, AGG]
  • A. AGGH
    AGGH is the ICAO airport code for Honiara International Airport, the main international gateway to the Solomon Islands.
  • B. 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.
  • C. AG
    AG is the Swiss vehicle registration code for the canton of Aargau.
  • D. AG
    AG is the common abbreviation for the Christian missions organization To the Nations.
  • E. AG
    AG is a common abbreviation for a German-language joint-stock company structure known as "Aktiengesellschaft."
  • 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: AGG
Triple: [Anti-Grain Geometry, hasAbbreviation, AGG]
Generated description
AGG is a high-quality, open-source 2D graphics rendering library known for its precision and anti-aliasing capabilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AGG
Target entity description: AGG is a high-quality, open-source 2D graphics rendering library known for its precision and anti-aliasing capabilities.
  • A. AGGH
    AGGH is the ICAO airport code for Honiara International Airport, the main international gateway to the Solomon Islands.
  • B. 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.
  • C. AG
    AG is the Swiss vehicle registration code for the canton of Aargau.
  • D. AG
    AG is the common abbreviation for the Christian missions organization To the Nations.
  • E. AG
    AG is a common abbreviation for a German-language joint-stock company structure known as "Aktiengesellschaft."
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a02273b481909bc250144a0ace32 completed April 20, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a054723def4819097961a04087a54a3 completed May 14, 2026, 3:53 a.m.
NEDg Description generation batch_6a0549358ba081909eb649898d1b3a8a completed May 14, 2026, 4:01 a.m.
NED2 Entity disambiguation (via description) batch_6a0549c825f481909d2da63688b36186 completed May 14, 2026, 4:04 a.m.
Created at: April 10, 2026, 11:53 a.m.