Triple

T4923394
Position Surface form Disambiguated ID Type / Status
Subject European Games E110518 entity
Predicate abbreviation P43 FINISHED
Object EG
EG is the standard abbreviation for the European Games, a continental multi-sport event for athletes from across Europe.
E480087 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: EG | Statement: [European Games, abbreviation, EG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EG
Context triple: [European Games, abbreviation, EG]
  • A. EG
    EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
  • B. GER
    GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
  • C. 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.
  • D. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • E. FG
    FG is the vehicle registration code used on license plates for the district of Freiberg in the German state of Saxony.
  • 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: EG
Triple: [European Games, abbreviation, EG]
Generated description
EG is the standard abbreviation for the European Games, a continental multi-sport event for athletes from across Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EG
Target entity description: EG is the standard abbreviation for the European Games, a continental multi-sport event for athletes from across Europe.
  • A. EG
    EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
  • B. GER
    GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
  • C. 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.
  • D. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • E. FG
    FG is the vehicle registration code used on license plates for the district of Freiberg in the German state of Saxony.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffd46748190843fed99f02fd8d5 completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77a6e1648190921487e3d81441b3 completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be78292a988190ba51886095629b9c completed March 21, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69be7892b34c819095100b14a80d6fa4 completed March 21, 2026, 10:53 a.m.
Created at: March 20, 2026, 1:30 p.m.