Triple

T16659345
Position Surface form Disambiguated ID Type / Status
Subject Banana Shire E404814 entity
Predicate hasLocality P7943 FINISHED
Object Cracow East
Cracow East is a rural locality within Queensland’s Banana Shire, known for its agricultural and pastoral landscape.
E1229645 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 East | Statement: [Banana Shire, hasLocality, Cracow East]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cracow East
Context triple: [Banana Shire, hasLocality, Cracow East]
  • 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. Cracow South
    Cracow South is a rural locality within the Banana Shire region of Queensland, Australia.
  • C. Wola Okrzejska
    Wola Okrzejska is a village in eastern Poland best known as the birthplace of Nobel Prize–winning novelist Henryk Sienkiewicz.
  • D. Wola
    Wola is a central district of Warsaw, Poland, known for its industrial heritage, residential neighborhoods, and significant role in the city's history.
  • E. Warsaw District
    Warsaw District was an administrative subdivision centered on Warsaw under the Nazi German General Government during World War II.
  • 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 East
Triple: [Banana Shire, hasLocality, Cracow East]
Generated description
Cracow East is a rural locality within Queensland’s Banana Shire, known for its agricultural and pastoral landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cracow East
Target entity description: Cracow East is a rural locality within Queensland’s Banana Shire, known for its agricultural and pastoral landscape.
  • 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. Cracow South
    Cracow South is a rural locality within the Banana Shire region of Queensland, Australia.
  • C. Wola Okrzejska
    Wola Okrzejska is a village in eastern Poland best known as the birthplace of Nobel Prize–winning novelist Henryk Sienkiewicz.
  • D. Wola
    Wola is a central district of Warsaw, Poland, known for its industrial heritage, residential neighborhoods, and significant role in the city's history.
  • E. Warsaw District
    Warsaw District was an administrative subdivision centered on Warsaw under the Nazi German General Government during World War II.
  • 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_6a0091901fd88190a3c0e4b133121a02 completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a009376a8308190b0d2a924e893da2e completed May 10, 2026, 2:17 p.m.
NED2 Entity disambiguation (via description) batch_6a009a0bd7f8819090fb16d88108b96d completed May 10, 2026, 2:45 p.m.
Created at: April 10, 2026, 5:18 a.m.