Triple

T9029763
Position Surface form Disambiguated ID Type / Status
Subject G.fast E216138 entity
Predicate hasRecommendationNumber P85770 FINISHED
Object G.9701
G.9701 is an ITU-T standard that defines the physical layer specifications for G.fast broadband access over existing copper telephone lines.
 E772509 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: G.9701 | Statement: [G.fast, hasRecommendationNumber, G.9701]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: G.9701
Context triple: [G.fast, hasRecommendationNumber, G.9701]
  • A. GJ-07
    GJ-07 is the vehicle registration code assigned to the city of Nadiad in the Indian state of Gujarat.
  • B. G-14
    G-14 was a former coalition of Europe’s most powerful football clubs that acted as a lobbying group before being superseded by the European Club Association.
  • C. G72
    G72 is a major Chinese national expressway connecting the coastal city of Quanzhou in Fujian Province with Nanning, the capital of Guangxi Zhuang Autonomous Region.
  • D. G9
    G9 is a consortium of nine leading Spanish public universities that collaborate to promote academic excellence, research, and shared educational initiatives.
  • E. GS9
    GS9 is a Brooklyn-based hip hop collective and crew closely associated with rapper Bobby Shmurda and the New York drill scene.
  • 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: G.9701
Triple: [G.fast, hasRecommendationNumber, G.9701]
Generated description
G.9701 is an ITU-T standard that defines the physical layer specifications for G.fast broadband access over existing copper telephone lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: G.9701
Target entity description: G.9701 is an ITU-T standard that defines the physical layer specifications for G.fast broadband access over existing copper telephone lines.
  • A. GJ-07
    GJ-07 is the vehicle registration code assigned to the city of Nadiad in the Indian state of Gujarat.
  • B. G-14
    G-14 was a former coalition of Europe’s most powerful football clubs that acted as a lobbying group before being superseded by the European Club Association.
  • C. G72
    G72 is a major Chinese national expressway connecting the coastal city of Quanzhou in Fujian Province with Nanning, the capital of Guangxi Zhuang Autonomous Region.
  • D. G9
    G9 is a consortium of nine leading Spanish public universities that collaborate to promote academic excellence, research, and shared educational initiatives.
  • E. GS9
    GS9 is a Brooklyn-based hip hop collective and crew closely associated with rapper Bobby Shmurda and the New York drill scene.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9bcb508190b58751f1772407d4 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc662208190a3f4e6e593208c5c completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdceaa44c81909384939d651b9a61 completed April 3, 2026, 3:29 p.m.
NED2 Entity disambiguation (via description) batch_69cfdd75761c8190b17f97184ae07810 completed April 3, 2026, 3:32 p.m.
Created at: March 30, 2026, 7:08 p.m.