Triple

T16659344
Position Surface form Disambiguated ID Type / Status
Subject Banana Shire E404814 entity
Predicate hasLocality P7943 FINISHED
Object Cracow South
Cracow South is a rural locality within the Banana Shire region of Queensland, Australia.
E1227542 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 South | Statement: [Banana Shire, hasLocality, Cracow South]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cracow South
Context triple: [Banana Shire, hasLocality, Cracow South]
  • A. Cracow North
    Cracow North is a rural locality within Banana Shire in Central Queensland, Australia, characterized by its agricultural landscape and sparse population.
  • 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 Okrzejska
    Wola Okrzejska is a village in eastern Poland best known as the birthplace of Nobel Prize–winning novelist Henryk Sienkiewicz.
  • D. Kraków
    Kraków is one of Poland’s oldest and most historically significant cities, renowned for its well-preserved medieval core, royal heritage, and cultural institutions.
  • E. Kraków District
    Kraków District was an administrative region of Nazi-occupied Poland within the General Government during World War II, centered on the historic city of Kraków.
  • 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 South
Triple: [Banana Shire, hasLocality, Cracow South]
Generated description
Cracow South is a rural locality within the Banana Shire region of Queensland, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cracow South
Target entity description: Cracow South is a rural locality within the Banana Shire region of Queensland, Australia.
  • A. Cracow North
    Cracow North is a rural locality within Banana Shire in Central Queensland, Australia, characterized by its agricultural landscape and sparse population.
  • 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 Okrzejska
    Wola Okrzejska is a village in eastern Poland best known as the birthplace of Nobel Prize–winning novelist Henryk Sienkiewicz.
  • D. Kraków
    Kraków is one of Poland’s oldest and most historically significant cities, renowned for its well-preserved medieval core, royal heritage, and cultural institutions.
  • E. Kraków District
    Kraków District was an administrative region of Nazi-occupied Poland within the General Government during World War II, centered on the historic city of Kraków.
  • 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_6a008a30e55c8190a5047656b9873a0e completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008b30c6688190845e23c1df7ff96a completed May 10, 2026, 1:42 p.m.
NED2 Entity disambiguation (via description) batch_6a008bfe16a48190bae435a7cd943c28 completed May 10, 2026, 1:45 p.m.
Created at: April 10, 2026, 5:18 a.m.