Triple

T9203318
Position Surface form Disambiguated ID Type / Status
Subject canton of Graubünden E220904 entity
Predicate hasCantonCode P28599 FINISHED
Object GR
GR is the official two-letter abbreviation used to designate the Swiss canton of Graubünden.
 E783394 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: GR | Statement: [canton of Graubünden, hasCantonCode, GR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GR
Context triple: [canton of Graubünden, hasCantonCode, GR]
  • A. GR
    GR is the stock ticker symbol for Goodrich Corporation, a former major American aerospace and defense company known for manufacturing aircraft systems and components.
  • B. GR
    GR is the standard abbreviation for Georgian Railway, the national rail transport company of Georgia.
  • C. GR
    GR is the performance and motorsport sub-brand of Toyota, known for developing high-performance road cars and competing in international racing series.
  • D. GRA
    GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
  • E. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • 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: GR
Triple: [canton of Graubünden, hasCantonCode, GR]
Generated description
GR is the official two-letter abbreviation used to designate the Swiss canton of Graubünden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GR
Target entity description: GR is the official two-letter abbreviation used to designate the Swiss canton of Graubünden.
  • A. GR
    GR is the stock ticker symbol for Goodrich Corporation, a former major American aerospace and defense company known for manufacturing aircraft systems and components.
  • B. GR
    GR is the standard abbreviation for Georgian Railway, the national rail transport company of Georgia.
  • C. GR
    GR is the performance and motorsport sub-brand of Toyota, known for developing high-performance road cars and competing in international racing series.
  • D. GRA
    GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
  • E. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd944e6208190adfcc7f75197387d completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c4953588190aa842de269eee56c completed April 4, 2026, 12:33 a.m.
NEDg Description generation batch_69d05d138c288190a0eab9be6bd649c0 completed April 4, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69d05df1a0888190a2bdc48a159b865e completed April 4, 2026, 12:40 a.m.
Created at: March 30, 2026, 7:26 p.m.