Triple

T4494565
Position Surface form Disambiguated ID Type / Status
Subject Fly River E100661 entity
Predicate hasCityOnBank P7935 FINISHED
Object Kiunga
Kiunga is a river port town in Western Province, Papua New Guinea, serving as a key commercial and transport hub on the Fly River.
 E447103 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: Kiunga | Statement: [Fly River, hasCityOnBank, Kiunga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiunga
Context triple: [Fly River, hasCityOnBank, Kiunga]
  • A. Kiamba
    Kiamba is a coastal municipality in the province of South Cotabato in the Philippines, known for its fishing industry and scenic natural attractions.
  • B. Kanyaga
    "Kanyaga" is a popular Tanzanian Bongo Flava hit song by Diamond Platnumz known for its energetic beat and danceable style.
  • C. Káⁿza
    Káⁿza is the endonym for the Kansa (Kaw) language, a Siouan language traditionally spoken by the Kansa people of the central United States.
  • D. Nyazura
    Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
  • E. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • 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: Kiunga
Triple: [Fly River, hasCityOnBank, Kiunga]
Generated description
Kiunga is a river port town in Western Province, Papua New Guinea, serving as a key commercial and transport hub on the Fly River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiunga
Target entity description: Kiunga is a river port town in Western Province, Papua New Guinea, serving as a key commercial and transport hub on the Fly River.
  • A. Kiamba
    Kiamba is a coastal municipality in the province of South Cotabato in the Philippines, known for its fishing industry and scenic natural attractions.
  • B. Kanyaga
    "Kanyaga" is a popular Tanzanian Bongo Flava hit song by Diamond Platnumz known for its energetic beat and danceable style.
  • C. Káⁿza
    Káⁿza is the endonym for the Kansa (Kaw) language, a Siouan language traditionally spoken by the Kansa people of the central United States.
  • D. Nyazura
    Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
  • E. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5572c60881909101b4e65dd5de06 completed March 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67ba4d4881909fe32902507bcbe3 completed March 20, 2026, 3:28 p.m.
NEDg Description generation batch_69bd68d76cfc819083071015add540dc completed March 20, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_69bd698f0f148190ae3ad5193cba0851 completed March 20, 2026, 3:36 p.m.
Created at: March 20, 2026, 1 p.m.