Triple

T5222390
Position Surface form Disambiguated ID Type / Status
Subject Georgia's 2nd congressional district E117900 entity
Predicate abbreviation P43 FINISHED
Object GA-02
GA-02 is a congressional district in southwestern Georgia that includes cities such as Columbus and Albany and is represented in the U.S. House of Representatives.
 E503025 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-02 | Statement: [Georgia's 2nd congressional district, abbreviation, GA-02]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GA-02
Context triple: [Georgia's 2nd congressional district, abbreviation, GA-02]
  • A. GA-03
    GA-03 is the abbreviated designation for Georgia's 3rd congressional district, a U.S. House of Representatives district located in western Georgia.
  • B. GA-1
    GA-1 is the abbreviated designation for Georgia State Route 1, a major north–south state highway running through western Georgia.
  • C. GA-316
    GA-316 is a major east–west state highway in Georgia that connects the Atlanta metropolitan area with the city of Athens.
  • D. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • E. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • 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-02
Triple: [Georgia's 2nd congressional district, abbreviation, GA-02]
Generated description
GA-02 is a congressional district in southwestern Georgia that includes cities such as Columbus and Albany and is represented in the U.S. House of Representatives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GA-02
Target entity description: GA-02 is a congressional district in southwestern Georgia that includes cities such as Columbus and Albany and is represented in the U.S. House of Representatives.
  • A. GA-03
    GA-03 is the abbreviated designation for Georgia's 3rd congressional district, a U.S. House of Representatives district located in western Georgia.
  • B. GA-1
    GA-1 is the abbreviated designation for Georgia State Route 1, a major north–south state highway running through western Georgia.
  • C. GA-316
    GA-316 is a major east–west state highway in Georgia that connects the Atlanta metropolitan area with the city of Athens.
  • D. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • E. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7aba05b48190b6a7fc52ab3532f0 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeff852bc81908467a343c5ded404 completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef0761c208190bac06ff1f92c8224 completed March 21, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_69bef14ca27c81909a5a44155c9ddaf9 completed March 21, 2026, 7:28 p.m.
Created at: March 20, 2026, 1:48 p.m.