Triple

T10021112
Position Surface form Disambiguated ID Type / Status
Subject Kenya Wildlife Service E200610 entity
Predicate shortName P43 FINISHED
Object KWS
KWS is the government agency responsible for conserving and managing Kenya’s wildlife and protected areas.
 E836422 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: KWS | Statement: [Kenya Wildlife Service, shortName, KWS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KWS
Context triple: [Kenya Wildlife Service, shortName, KWS]
  • A. KWSWK
    KWSWK is the UN/LOCODE identifier for the Port of Shuwaikh in Kuwait, used in international shipping and logistics.
  • B. KWT
    KWT is the three-letter ISO 3166-1 alpha-3 country code assigned to Kuwait.
  • C. KWF
    KWF is the acronym for the Komisyon sa Wikang Filipino, the Philippine government agency responsible for developing, preserving, and promoting the Filipino language and other native languages of the Philippines.
  • D. KTW
    KTW is the IATA airport code for Katowice International Airport serving the Silesian region of southern Poland.
  • E. KSWF
    KSWF is the ICAO airport code for Stewart International Airport, a public airport in New York’s Hudson Valley serving both civilian and military aviation.
  • 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: KWS
Triple: [Kenya Wildlife Service, shortName, KWS]
Generated description
KWS is the government agency responsible for conserving and managing Kenya’s wildlife and protected areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KWS
Target entity description: KWS is the government agency responsible for conserving and managing Kenya’s wildlife and protected areas.
  • A. KWSWK
    KWSWK is the UN/LOCODE identifier for the Port of Shuwaikh in Kuwait, used in international shipping and logistics.
  • B. KWT
    KWT is the three-letter ISO 3166-1 alpha-3 country code assigned to Kuwait.
  • C. KWF
    KWF is the acronym for the Komisyon sa Wikang Filipino, the Philippine government agency responsible for developing, preserving, and promoting the Filipino language and other native languages of the Philippines.
  • D. KTW
    KTW is the IATA airport code for Katowice International Airport serving the Silesian region of southern Poland.
  • E. KSWF
    KSWF is the ICAO airport code for Stewart International Airport, a public airport in New York’s Hudson Valley serving both civilian and military aviation.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd79485881909df562bfff36ccf4 completed April 2, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26ab241848190a97dea745f6d2324 completed April 5, 2026, 1:59 p.m.
NEDg Description generation batch_69d26b84271881909c3a1b8a05e2c8a2 completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26f50dc008190866f0ba45b671560 completed April 5, 2026, 2:18 p.m.
Created at: March 30, 2026, 8:53 p.m.