Triple

T2928972
Position Surface form Disambiguated ID Type / Status
Subject New Britain E78913 entity
Predicate hasCity P316 FINISHED
Object Kimbe
Kimbe is the main commercial and administrative town on the island of New Britain in Papua New Guinea, known as a hub for nearby plantations and world-class diving.
E312313 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: Kimbe | Statement: [New Britain, hasCity, Kimbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kimbe
Context triple: [New Britain, hasCity, Kimbe]
  • 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. Kiyombe
    Kiyombe is a regional variety of the Kikongo language spoken by communities in parts of Central Africa.
  • C. Kambalda
    Kambalda is a mining town in Western Australia known for its significant nickel deposits and location near Lake Lefroy.
  • D. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • E. Chambo
    Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
  • 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: Kimbe
Triple: [New Britain, hasCity, Kimbe]
Generated description
Kimbe is the main commercial and administrative town on the island of New Britain in Papua New Guinea, known as a hub for nearby plantations and world-class diving.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kimbe
Target entity description: Kimbe is the main commercial and administrative town on the island of New Britain in Papua New Guinea, known as a hub for nearby plantations and world-class diving.
  • 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. Kiyombe
    Kiyombe is a regional variety of the Kikongo language spoken by communities in parts of Central Africa.
  • C. Kambalda
    Kambalda is a mining town in Western Australia known for its significant nickel deposits and location near Lake Lefroy.
  • D. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • E. Chambo
    Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98002da4819098d6448eebcafad4 completed March 8, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0866c24c88190af6c5246b5c78c70 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0d55128fc8190919354199e4c21bf completed March 11, 2026, 2:37 a.m.
NED2 Entity disambiguation (via description) batch_69b0d5f35adc81909af0a7cafbeb92de completed March 11, 2026, 2:39 a.m.
Created at: March 8, 2026, 2:55 p.m.