Triple

T6089448
Position Surface form Disambiguated ID Type / Status
Subject Magnetic Island E135723 entity
Predicate federalDivision P1566 FINISHED
Object Herbert
Herbert is an Australian federal electoral division in Queensland that includes areas such as Magnetic Island and parts of the city of Townsville.
E566198 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: Herbert | Statement: [Magnetic Island, federalDivision, Herbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbert
Context triple: [Magnetic Island, federalDivision, Herbert]
  • A. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • B. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • C. Hubert
    Hubert is a masculine given name of Germanic origin meaning "bright heart" or "shining intellect," historically borne by saints, nobles, and notable public figures.
  • D. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • E. Reginald
    Reginald is a masculine given name of English origin that has been borne by various notable figures, including military officers, politicians, and artists.
  • 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: Herbert
Triple: [Magnetic Island, federalDivision, Herbert]
Generated description
Herbert is an Australian federal electoral division in Queensland that includes areas such as Magnetic Island and parts of the city of Townsville.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Herbert
Target entity description: Herbert is an Australian federal electoral division in Queensland that includes areas such as Magnetic Island and parts of the city of Townsville.
  • A. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • B. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • C. Hubert
    Hubert is a masculine given name of Germanic origin meaning "bright heart" or "shining intellect," historically borne by saints, nobles, and notable public figures.
  • D. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • E. Reginald
    Reginald is a masculine given name of English origin that has been borne by various notable figures, including military officers, politicians, and artists.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057a862c88190912a913973c6b6fc completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d65908c8190a9700c0981dabe9a completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11dfb27bc81908c7109debc73249d completed March 23, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_69c11e7a5e7881908d5cc70cc11a58cd completed March 23, 2026, 11:05 a.m.
Created at: March 22, 2026, 4:12 p.m.