Triple

T1666461
Position Surface form Disambiguated ID Type / Status
Subject Komisyon sa Wikang Filipino E36023 entity
Predicate shortName P43 FINISHED
Object 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.
 E188581 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: KWF | Statement: [Komisyon sa Wikang Filipino, shortName, KWF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KWF
Context triple: [Komisyon sa Wikang Filipino, shortName, KWF]
  • A. KWT
    KWT is the three-letter ISO 3166-1 alpha-3 country code assigned to Kuwait.
  • B. KQ
    KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
  • C. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • D. KADW
    KADW is the ICAO airport code for Joint Base Andrews, a major U.S. military airfield near Washington, D.C.
  • E. YKF
    YKF is the IATA airport code for Region of Waterloo International Airport serving the Kitchener–Waterloo area in Ontario, Canada.
  • 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: KWF
Triple: [Komisyon sa Wikang Filipino, shortName, KWF]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KWF
Target entity description: 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.
  • A. KWT
    KWT is the three-letter ISO 3166-1 alpha-3 country code assigned to Kuwait.
  • B. KQ
    KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
  • C. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • D. KADW
    KADW is the ICAO airport code for Joint Base Andrews, a major U.S. military airfield near Washington, D.C.
  • E. YKF
    YKF is the IATA airport code for Region of Waterloo International Airport serving the Kitchener–Waterloo area in Ontario, Canada.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90adc57cc8190b270004c363768e3 completed March 5, 2026, 4:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad682fd42881908ecd0f331e81aba8 completed March 8, 2026, 12:14 p.m.
NEDg Description generation batch_69ad69c8af5481909d73d90e1dcaf560 completed March 8, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_69ad6a4aebb88190a27350216add031b completed March 8, 2026, 12:23 p.m.
Created at: March 4, 2026, 7:29 p.m.