Triple

T7676433
Position Surface form Disambiguated ID Type / Status
Subject Karen National Union E173871 entity
Predicate abbreviation P43 FINISHED
Object KNU
KNU is a political organization and ethnic armed group representing the Karen people in Myanmar, long involved in one of the world’s longest-running insurgencies against the central government.
 E680710 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: KNU | Statement: [Karen National Union, abbreviation, KNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KNU
Context triple: [Karen National Union, abbreviation, KNU]
  • A. KNU
    KNU is a leading Ukrainian public research university located in Kyiv, widely regarded as one of the country’s most prestigious higher education institutions.
  • B. KNU
    KNU is the IATA airport code assigned to Kanpur Airport in Kanpur, India.
  • C. KNU
    KNU is a major national research university in Daegu, South Korea, known for its comprehensive academic programs and strong emphasis on science and technology.
  • D. KNUQ
    KNUQ is the ICAO airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
  • E. KNO
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • 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: KNU
Triple: [Karen National Union, abbreviation, KNU]
Generated description
KNU is a political organization and ethnic armed group representing the Karen people in Myanmar, long involved in one of the world’s longest-running insurgencies against the central government.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KNU
Target entity description: KNU is a political organization and ethnic armed group representing the Karen people in Myanmar, long involved in one of the world’s longest-running insurgencies against the central government.
  • A. KNU
    KNU is a leading Ukrainian public research university located in Kyiv, widely regarded as one of the country’s most prestigious higher education institutions.
  • B. KNU
    KNU is the IATA airport code assigned to Kanpur Airport in Kanpur, India.
  • C. KNU
    KNU is a major national research university in Daegu, South Korea, known for its comprehensive academic programs and strong emphasis on science and technology.
  • D. KNUQ
    KNUQ is the ICAO airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
  • E. KNO
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701e333f08190a9ee87080c6d0118 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a240057081908826a5371ef5215b completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a2d073b08190a056e23cfdf13983 completed March 29, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69c8a37fabe481908c7da8a5d71a3f1c completed March 29, 2026, 3:58 a.m.
Created at: March 27, 2026, 4:01 p.m.