Triple

T22338342
Position Surface form Disambiguated ID Type / Status
Subject JS Kabylie E552209 entity
Predicate shortName P43 FINISHED
Object JSK
JSK is the commonly used abbreviation for JS Kabylie, a prominent Algerian football club with a rich history and strong fan base.
 E1530733 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: JSK | Statement: [JS Kabylie, shortName, JSK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JSK
Context triple: [JS Kabylie, shortName, JSK]
  • A. RJSK
    RJSK is the ICAO airport code for Akita Airport, a regional airport serving Akita Prefecture in northern Japan.
  • B. JKI
    JKI is the Julius Kühn Institute, Germany’s federal research center dedicated to plant cultivation and crop protection.
  • C. JST
    JST is the ICAO airline designator used to identify Jetstar Airways in international aviation operations.
  • D. JST
    The Joseph Smith Translation of the Bible (JST) is a revision of the King James Bible produced by Latter-day Saint founder Joseph Smith, incorporating doctrinal clarifications and additional material.
  • E. JST
    JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
  • 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: JSK
Triple: [JS Kabylie, shortName, JSK]
Generated description
JSK is the commonly used abbreviation for JS Kabylie, a prominent Algerian football club with a rich history and strong fan base.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JSK
Target entity description: JSK is the commonly used abbreviation for JS Kabylie, a prominent Algerian football club with a rich history and strong fan base.
  • A. RJSK
    RJSK is the ICAO airport code for Akita Airport, a regional airport serving Akita Prefecture in northern Japan.
  • B. JKI
    JKI is the Julius Kühn Institute, Germany’s federal research center dedicated to plant cultivation and crop protection.
  • C. JST
    JST is the ICAO airline designator used to identify Jetstar Airways in international aviation operations.
  • D. JST
    The Joseph Smith Translation of the Bible (JST) is a revision of the King James Bible produced by Latter-day Saint founder Joseph Smith, incorporating doctrinal clarifications and additional material.
  • E. JST
    JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1578184f481908d4ec1737a8a72d4 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad52d8b488190b9cba9b47f8f6e3d completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad993b9188190aacf482038b3cd29 completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0ada0cef848190864a88d7baa24a81 completed May 18, 2026, 9:21 a.m.
Created at: April 16, 2026, 8:43 p.m.