Triple

T15234178
Position Surface form Disambiguated ID Type / Status
Subject Lachlan Shire E364080 entity
Predicate hasLocality P7943 FINISHED
Object Albert
Albert is a small rural locality within Lachlan Shire in New South Wales, Australia.
E1144317 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: Albert | Statement: [Lachlan Shire, hasLocality, Albert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert
Context triple: [Lachlan Shire, hasLocality, Albert]
  • A. Albert
    Albert is the given name of Albert A. Michelson, the pioneering physicist known for his precise measurements of the speed of light and the Michelson–Morley experiment.
  • B. Albert
    Albert is a masculine given name of Germanic origin, commonly used in many European languages and English-speaking countries.
  • C. Albert
    Albert is a middle-aged divorcé portrayed by James Gandolfini in the romantic comedy film "Enough Said," where he becomes the love interest of Julia Louis-Dreyfus's character.
  • D. Albert
    Albert is a small town in northern France best known for its role on the Western Front during the First World War, particularly in the Battle of the Somme.
  • E. Albert
    Albert is a rational, steady, and respectable foil to Werther’s passionate temperament in Goethe’s novel "The Sorrows of Young Werther."
  • 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: Albert
Triple: [Lachlan Shire, hasLocality, Albert]
Generated description
Albert is a small rural locality within Lachlan Shire in New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Albert
Target entity description: Albert is a small rural locality within Lachlan Shire in New South Wales, Australia.
  • A. Albert
    Albert is a small town in northern France best known for its role on the Western Front during the First World War, particularly in the Battle of the Somme.
  • B. Albert
    Albert is a masculine given name of Germanic origin, commonly used in many European languages and English-speaking countries.
  • C. Albert
    Albert is the given name of the 19th-century German-American painter Albert Bierstadt, renowned for his grand landscapes of the American West.
  • D. Albert
    Albert is the given name of Albert A. Michelson, the pioneering physicist known for his precise measurements of the speed of light and the Michelson–Morley experiment.
  • E. Albert
    Albert is the given first name of American former Major League Baseball pitcher Lee Stange.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d7237081908dc17900ee66b64f completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3dd5a081909a1a7fceda648c29 completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fede8eed2c8190adb45306a1ec0faa completed May 9, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69fedef546708190bdeedd2c61fdbc86 completed May 9, 2026, 7:15 a.m.
Created at: April 10, 2026, 3:12 a.m.