Triple

T16728314
Position Surface form Disambiguated ID Type / Status
Subject Kenya Forest Service E406520 entity
Predicate abbreviation P43 FINISHED
Object KFS
KFS is the national agency in Kenya responsible for managing, conserving, and regulating the country’s forest resources.
 E1231133 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: KFS | Statement: [Kenya Forest Service, abbreviation, KFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KFS
Context triple: [Kenya Forest Service, abbreviation, KFS]
  • A. KFS
    KFS is the ICAO airline designator assigned to the Australian regional carrier Skytrans Airlines.
  • B. KFSM
    KFSM is the ICAO airport code for Fort Smith Regional Airport, a public airport serving Fort Smith, Arkansas, in the United States.
  • C. JFS
    JFS (Journaled File System) is a high-performance journaling file system developed by IBM, known for its scalability, low CPU usage, and reliability on enterprise and Linux systems.
  • D. SFS
    SFS is the commonly used abbreviation for the San Francisco Symphony, a major American orchestra based in San Francisco, California.
  • E. SFS
    SFS is a spatial feature standard that defines how geographic features and their properties are modeled and accessed in geospatial information systems.
  • 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: KFS
Triple: [Kenya Forest Service, abbreviation, KFS]
Generated description
KFS is the national agency in Kenya responsible for managing, conserving, and regulating the country’s forest resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KFS
Target entity description: KFS is the national agency in Kenya responsible for managing, conserving, and regulating the country’s forest resources.
  • A. KFS
    KFS is the ICAO airline designator assigned to the Australian regional carrier Skytrans Airlines.
  • B. KFSM
    KFSM is the ICAO airport code for Fort Smith Regional Airport, a public airport serving Fort Smith, Arkansas, in the United States.
  • C. JFS
    JFS (Journaled File System) is a high-performance journaling file system developed by IBM, known for its scalability, low CPU usage, and reliability on enterprise and Linux systems.
  • D. SFS
    SFS is the commonly used abbreviation for the San Francisco Symphony, a major American orchestra based in San Francisco, California.
  • E. SFS
    SFS is a spatial feature standard that defines how geographic features and their properties are modeled and accessed in geospatial information systems.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38749baa48190892b2e2b978f6eb6 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d483a8c8190b127f32dcc21be5a completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a00a12d77d8819087948d870e952ebb completed May 10, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_6a00a1adb95c8190b0db1ef2dc0b7f13 completed May 10, 2026, 3:18 p.m.
Created at: April 10, 2026, 5:20 a.m.