Triple

T21588895
Position Surface form Disambiguated ID Type / Status
Subject National Population and Family Planning Board of Indonesia E532726 entity
Predicate shortName P43 FINISHED
Object BKKBN
BKKBN is Indonesia’s government agency responsible for national population control and family planning programs.
 E1491082 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: BKKBN | Statement: [National Population and Family Planning Board of Indonesia, shortName, BKKBN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BKKBN
Context triple: [National Population and Family Planning Board of Indonesia, shortName, BKKBN]
  • A. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • B. KBN
    KBN is the National Rail station code assigned to Kilburn Park station in London.
  • C. THBKK
    THBKK is the UN/LOCODE identifier for Bangkok Port, the main international seaport serving Bangkok, Thailand.
  • D. KKNK
    KKNK is a major annual Afrikaans-language arts and culture festival held in Oudtshoorn, South Africa, showcasing theatre, music, visual arts, and literature.
  • E. Kbn
    Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
  • 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: BKKBN
Triple: [National Population and Family Planning Board of Indonesia, shortName, BKKBN]
Generated description
BKKBN is Indonesia’s government agency responsible for national population control and family planning programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BKKBN
Target entity description: BKKBN is Indonesia’s government agency responsible for national population control and family planning programs.
  • A. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • B. KBN
    KBN is the National Rail station code assigned to Kilburn Park station in London.
  • C. THBKK
    THBKK is the UN/LOCODE identifier for Bangkok Port, the main international seaport serving Bangkok, Thailand.
  • D. KKNK
    KKNK is a major annual Afrikaans-language arts and culture festival held in Oudtshoorn, South Africa, showcasing theatre, music, visual arts, and literature.
  • E. Kbn
    Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadb25108190b7a3d2e8dfc8ae60 completed April 27, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f67f08208190a1633fd2a28e2fa2 completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f6fc3d7081909edf8cc575b6293e completed May 17, 2026, 5:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09f79098e48190acdcad615098c55a completed May 17, 2026, 5:14 p.m.
Created at: April 16, 2026, 6:31 p.m.