Triple

T469320
Position Surface form Disambiguated ID Type / Status
Subject Georgia State Route 54 E8518 entity
Predicate abbreviation P43 FINISHED
Object GA 54
GA 54 is a state highway in Georgia that connects several communities in the western part of the state, including areas south of Atlanta.
 E58674 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: GA 54 | Statement: [Georgia State Route 54, abbreviation, GA 54]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GA 54
Context triple: [Georgia State Route 54, abbreviation, GA 54]
  • A. GA 85
    GA 85 is a state highway in Georgia that runs generally south–north, connecting rural communities and suburbs to the Atlanta metropolitan area.
  • B. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • C. GAC
    The GAC is a committee within the Internet Corporation for Assigned Names and Numbers (ICANN) that provides governments and intergovernmental organizations with a formal voice in global internet governance and policy development.
  • D. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • E. GMC
    GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
  • 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: GA 54
Triple: [Georgia State Route 54, abbreviation, GA 54]
Generated description
GA 54 is a state highway in Georgia that connects several communities in the western part of the state, including areas south of Atlanta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GA 54
Target entity description: GA 54 is a state highway in Georgia that connects several communities in the western part of the state, including areas south of Atlanta.
  • A. GA 85
    GA 85 is a state highway in Georgia that runs generally south–north, connecting rural communities and suburbs to the Atlanta metropolitan area.
  • B. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • C. GAC
    The GAC is a committee within the Internet Corporation for Assigned Names and Numbers (ICANN) that provides governments and intergovernmental organizations with a formal voice in global internet governance and policy development.
  • D. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • E. GMC
    GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efee0ea0819099d87f3727c03bc7 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a45803a8c081908e5f5a03f462cd2e completed March 1, 2026, 3:15 p.m.
NEDg Description generation batch_69a45d6f45a0819099ced2dc87124c2c completed March 1, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_69a45e24f1308190b852050d56348f57 completed March 1, 2026, 3:41 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.