Triple

T12994976
Position Surface form Disambiguated ID Type / Status
Subject Landelijke Knokploegen E322009 entity
Predicate hasAbbreviation P43 FINISHED
Object LKP
LKP was a Dutch World War II resistance organization composed of armed groups that carried out sabotage, raids, and support operations against the German occupation.
 E1015820 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: LKP | Statement: [Landelijke Knokploegen, hasAbbreviation, LKP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LKP
Context triple: [Landelijke Knokploegen, hasAbbreviation, LKP]
  • A. LKO
    LKO is the IATA airport code for Chaudhary Charan Singh International Airport serving Lucknow, India.
  • B. LK
    LK is the two-letter ISO 3166-1 alpha-2 country code assigned to Sri Lanka for international standardization and identification purposes.
  • C. LKA
    LKA is the three-letter ISO 3166-1 alpha-3 country code assigned to Sri Lanka.
  • D. LFKF
    LFKF is the ICAO airport code for Figari–Sud Corse Airport, a regional airport serving the southern part of Corsica, France.
  • E. KLu
    KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
  • 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: LKP
Triple: [Landelijke Knokploegen, hasAbbreviation, LKP]
Generated description
LKP was a Dutch World War II resistance organization composed of armed groups that carried out sabotage, raids, and support operations against the German occupation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LKP
Target entity description: LKP was a Dutch World War II resistance organization composed of armed groups that carried out sabotage, raids, and support operations against the German occupation.
  • A. LKO
    LKO is the IATA airport code for Chaudhary Charan Singh International Airport serving Lucknow, India.
  • B. LK
    LK is the two-letter ISO 3166-1 alpha-2 country code assigned to Sri Lanka for international standardization and identification purposes.
  • C. LKA
    LKA is the three-letter ISO 3166-1 alpha-3 country code assigned to Sri Lanka.
  • D. LFKF
    LFKF is the ICAO airport code for Figari–Sud Corse Airport, a regional airport serving the southern part of Corsica, France.
  • E. KLu
    KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7877f481908a03f1077600e58a completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0fca5e4819086b010fdd1813419 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c20a1eb881908a28dc884c2005ef completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c34b9ec08190bb29458b6f43c388 completed May 3, 2026, 3:38 a.m.
Created at: April 9, 2026, 8:44 p.m.