Triple

T3260864
Position Surface form Disambiguated ID Type / Status
Subject Karnataka Legislative Assembly E68404 entity
Predicate abbreviation P43 FINISHED
Object KLA
KLA is the commonly used abbreviation for the Karnataka Legislative Assembly, the lower house of the state legislature in Karnataka, India.
E342829 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: KLA | Statement: [Karnataka Legislative Assembly, abbreviation, KLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KLA
Context triple: [Karnataka Legislative Assembly, abbreviation, KLA]
  • A. KLAC
    KLAC is a Los Angeles-based sports radio station best known for broadcasting Los Angeles Lakers games and other local sports coverage.
  • B. LKA
    LKA is the three-letter ISO 3166-1 alpha-3 country code assigned to Sri Lanka.
  • C. KLAS
    KLAS is the ICAO airport code for Harry Reid International Airport, the primary commercial airport serving Las Vegas, Nevada.
  • D. KKL
    KKL is the Hebrew acronym for Keren Kayemeth LeIsrael, the Jewish National Fund organization known for land development, afforestation, and environmental projects in Israel.
  • E. KNA
    KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
  • 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: KLA
Triple: [Karnataka Legislative Assembly, abbreviation, KLA]
Generated description
KLA is the commonly used abbreviation for the Karnataka Legislative Assembly, the lower house of the state legislature in Karnataka, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KLA
Target entity description: KLA is the commonly used abbreviation for the Karnataka Legislative Assembly, the lower house of the state legislature in Karnataka, India.
  • A. KLAC
    KLAC is a Los Angeles-based sports radio station best known for broadcasting Los Angeles Lakers games and other local sports coverage.
  • B. LKA
    LKA is the three-letter ISO 3166-1 alpha-3 country code assigned to Sri Lanka.
  • C. KLAS
    KLAS is the ICAO airport code for Harry Reid International Airport, the primary commercial airport serving Las Vegas, Nevada.
  • D. KKL
    KKL is the Hebrew acronym for Keren Kayemeth LeIsrael, the Jewish National Fund organization known for land development, afforestation, and environmental projects in Israel.
  • E. KNA
    KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafa7fea08190b089b6174fd7cd32 completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ede248c8190b5a1f9403787361c completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b2966f189c8190bb56daea54be8a93 completed March 12, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6c1c65c81909e661c6beaaec9af completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:09 p.m.