Triple

T1066521
Position Surface form Disambiguated ID Type / Status
Subject Georgia State Route 1 E23222 entity
Predicate abbreviation P43 FINISHED
Object GA-1
GA-1 is the abbreviated designation for Georgia State Route 1, a major north–south state highway running through western Georgia.
 E124045 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-1 | Statement: [Georgia State Route 1, abbreviation, GA-1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GA-1
Context triple: [Georgia State Route 1, abbreviation, GA-1]
  • A. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • B. 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.
  • C. GAIS
    GAIS is a Swedish sports club from Gothenburg best known for its professional football team competing in the national league system.
  • D. 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.
  • E. 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.
  • 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-1
Triple: [Georgia State Route 1, abbreviation, GA-1]
Generated description
GA-1 is the abbreviated designation for Georgia State Route 1, a major north–south state highway running through western Georgia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GA-1
Target entity description: GA-1 is the abbreviated designation for Georgia State Route 1, a major north–south state highway running through western Georgia.
  • A. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • B. 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.
  • C. GAIS
    GAIS is a Swedish sports club from Gothenburg best known for its professional football team competing in the national league system.
  • D. 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.
  • E. 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.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b910c6d481909c56f961a0e8720c completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a336388190a6d18fda8a7a151d completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac43f306e48190b94f16749f5ba0d1 completed March 7, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ac44467c9c8190a82ea8158add468a completed March 7, 2026, 3:29 p.m.
Created at: March 1, 2026, 7:42 p.m.