Triple

T22024021
Position Surface form Disambiguated ID Type / Status
Subject Sallum E543912 entity
Predicate hasCountryCode P189 FINISHED
Object EG NE NERFINISHED

How this triple was built (2 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: [Sallum, hasCountryCode, EG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EG
Context triple: [Sallum, hasCountryCode, 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. 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 IATA airline code assigned to Enerjet, a Canadian low-cost charter airline.
  • D. EG chosen
    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.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ca45a08190b2d5d3a8eb37cb4b completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.