Triple

T10751506
Position Surface form Disambiguated ID Type / Status
Subject Estonian Defence League E253581 entity
Predicate abbreviation P43 FINISHED
Object EKL
EKL is the abbreviation for the Estonian Defence League, a voluntary national defence organization supporting Estonia’s military and civil security.
E884040 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: EKL | Statement: [Estonian Defence League, abbreviation, EKL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EKL
Context triple: [Estonian Defence League, abbreviation, EKL]
  • A. EKL
    EKL is the National Rail station code for East Kilbride railway station in South Lanarkshire, Scotland.
  • B. EKM
    EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
  • C. EKO
    EKO is the three-letter IATA airport code for Elko Regional Airport, a public airport serving Elko, Nevada, in the United States.
  • D. Ek
    Ek is a Swedish surname borne by several notable figures, including politicians and entrepreneurs.
  • E. KLE
    KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
  • 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: EKL
Triple: [Estonian Defence League, abbreviation, EKL]
Generated description
EKL is the abbreviation for the Estonian Defence League, a voluntary national defence organization supporting Estonia’s military and civil security.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EKL
Target entity description: EKL is the abbreviation for the Estonian Defence League, a voluntary national defence organization supporting Estonia’s military and civil security.
  • A. EKL
    EKL is the National Rail station code for East Kilbride railway station in South Lanarkshire, Scotland.
  • B. EKM
    EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
  • C. EKO
    EKO is the three-letter IATA airport code for Elko Regional Airport, a public airport serving Elko, Nevada, in the United States.
  • D. Ek
    Ek is a Swedish surname borne by several notable figures, including politicians and entrepreneurs.
  • E. KLE
    KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dc0ad188190b747bf9d10cf5de5 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23292f8c8190a52c94c03e7d476d completed April 14, 2026, 11:21 a.m.
NEDg Description generation batch_69de271e2698819093bba748a0a0db5d completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cdd79608190bad8045939556bc7 completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:15 p.m.