Triple

T16659291
Position Surface form Disambiguated ID Type / Status
Subject Banana Shire E404814 entity
Predicate hasLocality P7943 FINISHED
Object Kooemba
Kooemba is a small rural locality situated within the Banana Shire region of Queensland, Australia.
E1249007 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: Kooemba | Statement: [Banana Shire, hasLocality, Kooemba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kooemba
Context triple: [Banana Shire, hasLocality, Kooemba]
  • A. Mudjimba
    Mudjimba is a coastal suburb on Queensland’s Sunshine Coast in Australia, known for its beaches and relaxed seaside atmosphere.
  • B. Yamba
    Yamba is a coastal town in northern New South Wales, Australia, known for its beaches, fishing, and laid-back holiday atmosphere.
  • C. Kalangadoo
    Kalangadoo is a small rural town in South Australia's Limestone Coast region, known historically for its timber and apple industries.
  • D. Gomea
    Gomea is a village in Saint George Parish on the island of Saint Vincent in Saint Vincent and the Grenadines.
  • E. Kulawi
    Kulawi is a town in Central Sulawesi, Indonesia, known as a gateway to the biodiverse Lore Lindu National Park in the island’s 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: Kooemba
Triple: [Banana Shire, hasLocality, Kooemba]
Generated description
Kooemba is a small rural locality situated within the Banana Shire region of Queensland, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kooemba
Target entity description: Kooemba is a small rural locality situated within the Banana Shire region of Queensland, Australia.
  • A. Mudjimba
    Mudjimba is a coastal suburb on Queensland’s Sunshine Coast in Australia, known for its beaches and relaxed seaside atmosphere.
  • B. Yamba
    Yamba is a coastal town in northern New South Wales, Australia, known for its beaches, fishing, and laid-back holiday atmosphere.
  • C. Kalangadoo
    Kalangadoo is a small rural town in South Australia's Limestone Coast region, known historically for its timber and apple industries.
  • D. Gomea
    Gomea is a village in Saint George Parish on the island of Saint Vincent in Saint Vincent and the Grenadines.
  • E. Kulawi
    Kulawi is a town in Central Sulawesi, Indonesia, known as a gateway to the biodiverse Lore Lindu National Park in the island’s 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfcbb6881909c0419174dd017dc completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ec7a4a48190802061e5cd634ea3 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a0130716ad08190a05ac03f60076b11 completed May 11, 2026, 1:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0130dbe1f8819095b2d36882bf3287 completed May 11, 2026, 1:29 a.m.
Created at: April 10, 2026, 5:18 a.m.