Triple

T17535368
Position Surface form Disambiguated ID Type / Status
Subject East Georgia State College E427044 entity
Predicate abbreviation P43 FINISHED
Object EGSC
EGSC is a public, access-focused institution in Georgia offering associate and select bachelor’s degree programs across multiple campuses and online.
 E1273944 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: EGSC | Statement: [East Georgia State College, abbreviation, EGSC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EGSC
Context triple: [East Georgia State College, abbreviation, EGSC]
  • A. EGSC
    EGSC is the ICAO airport code for Cambridge City Airport in Cambridge, England.
  • B. GSC
    GSC is a collegiate athletic conference in the NCAA Division II primarily composed of universities in the southeastern United States.
  • C. GSC
    GSC is the commonly used abbreviation for the General Secretariat of the Council of the European Union, the administrative body that supports the Council’s work and decision-making processes.
  • D. GSC
    GSC is an astronomical instrument used on the MAXI X-ray observatory to detect and monitor cosmic X-ray sources.
  • E. GSC
    GSC is the Geological Survey of Canada, the national scientific agency responsible for studying and mapping Canada’s geology, natural resources, and geological hazards.
  • 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: EGSC
Triple: [East Georgia State College, abbreviation, EGSC]
Generated description
EGSC is a public, access-focused institution in Georgia offering associate and select bachelor’s degree programs across multiple campuses and online.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EGSC
Target entity description: EGSC is a public, access-focused institution in Georgia offering associate and select bachelor’s degree programs across multiple campuses and online.
  • A. EGSC
    EGSC is the ICAO airport code for Cambridge City Airport in Cambridge, England.
  • B. GSC
    GSC is a collegiate athletic conference in the NCAA Division II primarily composed of universities in the southeastern United States.
  • C. GSC
    GSC is the commonly used abbreviation for the General Secretariat of the Council of the European Union, the administrative body that supports the Council’s work and decision-making processes.
  • D. GSC
    GSC is an astronomical instrument used on the MAXI X-ray observatory to detect and monitor cosmic X-ray sources.
  • E. GSC
    GSC is the Geological Survey of Canada, the national scientific agency responsible for studying and mapping Canada’s geology, natural resources, and geological hazards.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4536b8d6c8190906314708001a830 completed April 19, 2026, 4 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c95009fc81909ab2a341c105b046 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01cb6b09648190972d5b26bea7b5bf completed May 11, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_6a01cbe36900819080ae960724848db8 completed May 11, 2026, 12:30 p.m.
Created at: April 10, 2026, 5:49 a.m.