Triple

T2341522
Position Surface form Disambiguated ID Type / Status
Subject Republic of the Congo E45036 entity
Predicate internetTLD P248 FINISHED
Object .cg
.cg is the country code top-level domain (ccTLD) assigned to the Republic of the Congo for use in its internet addresses.
E259227 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: .cg | Statement: [Republic of the Congo, internetTLD, .cg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: .cg
Context triple: [Republic of the Congo, internetTLD, .cg]
  • A. CG
    CG is the stock ticker symbol for The Carlyle Group, a major global alternative asset management and private equity firm.
  • B. GPC
    GPC is a discount cigarette brand produced by the tobacco company Brown & Williamson.
  • C. GPC
    GPC is the GNU Pascal Compiler, a free, open-source Pascal compiler that is part of the GNU Compiler Collection (GCC) project.
  • D. .ge
    .ge is the country code top-level domain (ccTLD) assigned to websites associated with Georgia.
  • E. CGF
    CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
  • 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: .cg
Triple: [Republic of the Congo, internetTLD, .cg]
Generated description
.cg is the country code top-level domain (ccTLD) assigned to the Republic of the Congo for use in its internet addresses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: .cg
Target entity description: .cg is the country code top-level domain (ccTLD) assigned to the Republic of the Congo for use in its internet addresses.
  • A. CG
    CG is the stock ticker symbol for The Carlyle Group, a major global alternative asset management and private equity firm.
  • B. GPC
    GPC is a discount cigarette brand produced by the tobacco company Brown & Williamson.
  • C. GPC
    GPC is the GNU Pascal Compiler, a free, open-source Pascal compiler that is part of the GNU Compiler Collection (GCC) project.
  • D. .ge
    .ge is the country code top-level domain (ccTLD) assigned to websites associated with Georgia.
  • E. CGF
    CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6abf1688190b7c404de0979149a completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae961fd8748190a82ca4c4b840d9f6 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae980425b0819092477f5cf9816d65 completed March 9, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae9bef58f881908161d143369ba11a completed March 9, 2026, 10:07 a.m.
Created at: March 4, 2026, 7:52 p.m.