Triple

T16659266
Position Surface form Disambiguated ID Type / Status
Subject Banana Shire E404814 entity
Predicate hasLocality P7943 FINISHED
Object Kianga
Kianga is a rural locality within Queensland’s Banana Shire, known for its agricultural and mining activities.
 E1226482 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: Kianga | Statement: [Banana Shire, hasLocality, Kianga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kianga
Context triple: [Banana Shire, hasLocality, Kianga]
  • A. Kuto
    Kuto is a neighborhood and urban district within the city of Abeokuta in Ogun State, southwestern Nigeria.
  • B. Tongelre
    Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
  • C. Kionia
    Kionia is a coastal village on the Greek island of Tinos, known for its beaches and nearby archaeological remains of an ancient temple dedicated to Poseidon.
  • D. Tanglha
    Tanglha is a mountain range in the central Tibetan Plateau known for its high peaks and role as a watershed between major Asian river systems.
  • E. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • 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: Kianga
Triple: [Banana Shire, hasLocality, Kianga]
Generated description
Kianga is a rural locality within Queensland’s Banana Shire, known for its agricultural and mining activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kianga
Target entity description: Kianga is a rural locality within Queensland’s Banana Shire, known for its agricultural and mining activities.
  • A. Kuto
    Kuto is a neighborhood and urban district within the city of Abeokuta in Ogun State, southwestern Nigeria.
  • B. Tongelre
    Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
  • C. Kionia
    Kionia is a coastal village on the Greek island of Tinos, known for its beaches and nearby archaeological remains of an ancient temple dedicated to Poseidon.
  • D. Tanglha
    Tanglha is a mountain range in the central Tibetan Plateau known for its high peaks and role as a watershed between major Asian river systems.
  • E. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • 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_6a0084ce7cf0819091e7a4de2cc010ea completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a00862fe04481908bc114001357aea9 completed May 10, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_6a00879d9f948190bdf40ff7be2505ff completed May 10, 2026, 1:26 p.m.
Created at: April 10, 2026, 5:18 a.m.