Triple

T15733603
Position Surface form Disambiguated ID Type / Status
Subject Enerjet E381408 entity
Predicate IATA airline designator P12360 FINISHED
Object EG
EG is the IATA airline code assigned to Enerjet, a Canadian low-cost charter airline.
 E1174560 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: [Enerjet, IATA airline designator, EG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EG
Context triple: [Enerjet, IATA airline designator, EG]
  • A. EG
    EG is the standard abbreviation for the European Games, a continental multi-sport event for athletes from across Europe.
  • B. EG
    EG is the ISO 3166-1 alpha-2 country code for Egypt, a transcontinental nation in North Africa and the Middle East known for its ancient civilization and monuments like the Pyramids of Giza.
  • C. 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.
  • D. GER
    GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
  • E. GER
    GER is the IATA airport code for Rafael Cabrera Mustelier Airport, which serves Nueva Gerona on Cuba’s Isla de la Juventud.
  • 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: [Enerjet, IATA airline designator, EG]
Generated description
EG is the IATA airline code assigned to Enerjet, a Canadian low-cost charter airline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EG
Target entity description: EG is the IATA airline code assigned to Enerjet, a Canadian low-cost charter airline.
  • 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. EG
    EG is the standard abbreviation for the European Games, a continental multi-sport event for athletes from across Europe.
  • C. EG
    EG is the ISO 3166-1 alpha-2 country code for Egypt, a transcontinental nation in North Africa and the Middle East known for its ancient civilization and monuments like the Pyramids of Giza.
  • D. GER
    GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
  • E. GER
    GER is the IATA airport code for Rafael Cabrera Mustelier Airport, which serves Nueva Gerona on Cuba’s Isla de la Juventud.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd3614481908b2694b1d3550058 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82fed7888190b45f28ac91e0079e completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83b7a534819090e24491579376c3 completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff844fa00c8190a47eb46394db097b completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:46 a.m.