Triple

T16659343
Position Surface form Disambiguated ID Type / Status
Subject Banana Shire E404814 entity
Predicate hasLocality P7943 FINISHED
Object Cracow North
Cracow North is a rural locality within Banana Shire in Central Queensland, Australia, characterized by its agricultural landscape and sparse population.
E1226500 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: Cracow North | Statement: [Banana Shire, hasLocality, Cracow North]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cracow North
Context triple: [Banana Shire, hasLocality, Cracow North]
  • A. Wola Okrzejska
    Wola Okrzejska is a village in eastern Poland best known as the birthplace of Nobel Prize–winning novelist Henryk Sienkiewicz.
  • B. Ujazdów
    Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
  • C. Wola
    Wola is a central district of Warsaw, Poland, known for its industrial heritage, residential neighborhoods, and significant role in the city's history.
  • D. Biała Krakowska
    Biała Krakowska is the former town that now forms the eastern, historically separate part of the modern city of Bielsko-Biała in southern Poland.
  • E. Mokotów
    Mokotów is a large, centrally located district of Warsaw known for its residential neighborhoods, parks, and business centers.
  • 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: Cracow North
Triple: [Banana Shire, hasLocality, Cracow North]
Generated description
Cracow North is a rural locality within Banana Shire in Central Queensland, Australia, characterized by its agricultural landscape and sparse population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cracow North
Target entity description: Cracow North is a rural locality within Banana Shire in Central Queensland, Australia, characterized by its agricultural landscape and sparse population.
  • A. Wola Okrzejska
    Wola Okrzejska is a village in eastern Poland best known as the birthplace of Nobel Prize–winning novelist Henryk Sienkiewicz.
  • B. Ujazdów
    Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
  • C. Wola
    Wola is a central district of Warsaw, Poland, known for its industrial heritage, residential neighborhoods, and significant role in the city's history.
  • D. Biała Krakowska
    Biała Krakowska is the former town that now forms the eastern, historically separate part of the modern city of Bielsko-Biała in southern Poland.
  • E. Mokotów
    Mokotów is a large, centrally located district of Warsaw known for its residential neighborhoods, parks, and business centers.
  • 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.