Triple

T4564534
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Environment and Forestry of Indonesia E121876 entity
Predicate shortName P43 FINISHED
Object KLHK
KLHK is the Indonesian government ministry responsible for environmental protection, natural resource management, and forestry policy.
 E452735 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: KLHK | Statement: [Ministry of Environment and Forestry of Indonesia, shortName, KLHK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KLHK
Context triple: [Ministry of Environment and Forestry of Indonesia, shortName, KLHK]
  • A. KBKL
    KBKL is the ICAO airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
  • B. KKH
    KKH is the abbreviation for the Karakoram Highway, a major high-altitude road linking Pakistan and China through the Karakoram mountain range.
  • C. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • D. KL
    KL is the official vehicle registration code assigned to the Indian state of Kerala.
  • E. KL
    KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
  • 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: KLHK
Triple: [Ministry of Environment and Forestry of Indonesia, shortName, KLHK]
Generated description
KLHK is the Indonesian government ministry responsible for environmental protection, natural resource management, and forestry policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KLHK
Target entity description: KLHK is the Indonesian government ministry responsible for environmental protection, natural resource management, and forestry policy.
  • A. KBKL
    KBKL is the ICAO airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
  • B. KKH
    KKH is the abbreviation for the Karakoram Highway, a major high-altitude road linking Pakistan and China through the Karakoram mountain range.
  • C. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • D. KL
    KL is the official vehicle registration code assigned to the Indian state of Kerala.
  • E. KL
    KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
  • 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd589b439c81908da9d19433310bcd completed March 20, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc5a8ea5481908a652290e9df911f completed March 20, 2026, 10:09 p.m.
NEDg Description generation batch_69bdc93a17548190b7ee841b25f7ad13 completed March 20, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69bdc9b4f9ac8190ae15c6445748a66e completed March 20, 2026, 10:27 p.m.
Created at: March 20, 2026, 1:09 p.m.