Triple

T3059395
Position Surface form Disambiguated ID Type / Status
Subject Georgia's 3rd congressional district E60558 entity
Predicate hasAbbreviation P43 FINISHED
Object GA3
GA3 is the standard abbreviated designation for Georgia’s 3rd congressional district in the United States House of Representatives.
 E321956 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: GA3 | Statement: [Georgia's 3rd congressional district, hasAbbreviation, GA3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GA3
Context triple: [Georgia's 3rd congressional district, hasAbbreviation, GA3]
  • A. GA-1
    GA-1 is the abbreviated designation for Georgia State Route 1, a major north–south state highway running through western Georgia.
  • B. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • C. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • D. GAC
    GAC was a key scientific advisory body to the U.S. Atomic Energy Commission that evaluated nuclear research, weapons development, and related policy issues during the early Cold War era.
  • 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: GA3
Triple: [Georgia's 3rd congressional district, hasAbbreviation, GA3]
Generated description
GA3 is the standard abbreviated designation for Georgia’s 3rd congressional district in the United States House of Representatives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GA3
Target entity description: GA3 is the standard abbreviated designation for Georgia’s 3rd congressional district in the United States House of Representatives.
  • A. GA-1
    GA-1 is the abbreviated designation for Georgia State Route 1, a major north–south state highway running through western Georgia.
  • B. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • C. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • D. GAC
    GAC was a key scientific advisory body to the U.S. Atomic Energy Commission that evaluated nuclear research, weapons development, and related policy issues during the early Cold War era.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e9cf9188190b43f50edc009030d completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0b989c819094daaf222bf01d02 completed March 11, 2026, 10:39 p.m.
NEDg Description generation batch_69b1efdd73188190b7a47fc2a1d627d1 completed March 11, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69b1f062abf48190ab891463c5b33622 completed March 11, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:02 p.m.