Triple

T12123385
Position Surface form Disambiguated ID Type / Status
Subject Evrytania E288746 entity
Predicate countryCode P208 FINISHED
Object GR
GR is the ISO 3166-1 alpha-2 country code for Greece, a southeastern European nation known for its ancient history and numerous islands.
 E970087 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: [Evrytania, countryCode, GR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GR
Context triple: [Evrytania, countryCode, 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. GR
    GR is the standard abbreviation for the extensive network of long-distance hiking trails known as the Grande Randonnée routes, primarily found across France and other European countries.
  • E. GR
    GR is the official two-letter abbreviation used to designate the Swiss canton of Graubünden.
  • 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: [Evrytania, countryCode, GR]
Generated description
GR is the ISO 3166-1 alpha-2 country code for Greece, a southeastern European nation known for its ancient history and numerous islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GR
Target entity description: GR is the ISO 3166-1 alpha-2 country code for Greece, a southeastern European nation known for its ancient history and numerous islands.
  • 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. GR
    GR is the official two-letter abbreviation used to designate the Swiss canton of Graubünden.
  • E. GR
    GR is the standard abbreviation for the extensive network of long-distance hiking trails known as the Grande Randonnée routes, primarily found across France and other European countries.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91578fd88819099adf55c93d549fc completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a77e3588190bf84b3c3aa311641 completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60d10449c81909bf53ab54993de0f completed May 2, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69f60dc353ac819082cb866f2b81555b completed May 2, 2026, 2:44 p.m.
Created at: April 8, 2026, 9:49 p.m.