Triple

T22262659
Position Surface form Disambiguated ID Type / Status
Subject Somme region E550266 entity
Predicate containsCity P294 FINISHED
Object 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.
 E363953 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: [Somme region, containsCity, Albert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Albert
Context triple: [Somme region, containsCity, Albert]
  • A. Albert
    Albert is a rational, steady, and respectable foil to Werther’s passionate temperament in Goethe’s novel "The Sorrows of Young Werther."
  • B. Albert
    Albert is the given first name of American former Major League Baseball pitcher Lee Stange.
  • C. Albert
    Albert is the given first name of Al Jackson Jr., the influential American drummer best known for his work with Booker T. & the M.G.'s and Stax Records.
  • D. Albert
    Albert is the first name of American television personality and longtime weather anchor Al Roker.
  • E. Albert
    Albert is the given first name of film producer "Cubby" Broccoli, best known for co-producing the James Bond movie series.
  • 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: [Somme region, containsCity, Albert]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Albert
Target entity description: 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.
  • A. Albert chosen
    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 small rural locality within Lachlan Shire in New South Wales, Australia.
  • C. Albert
    Albert is the given name of Albert F. Mummery, a pioneering English mountaineer known for his innovative and daring climbs in the Alps and Himalayas.
  • D. Albert
    Albert is a masculine given name of Germanic origin, commonly used in many European languages and English-speaking countries.
  • E. Albert
    Albert is the given name of British historian and politician H. A. L. Fisher, noted for his work on European history and service in government.
  • F. None of above.

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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141b94a688190b17c55477993a745 completed April 28, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab66a08848190ac34b6af7a116f49 completed May 18, 2026, 6:49 a.m.
NEDg Description generation batch_6a0ab7f904bc81909addafee8773eae0 completed May 18, 2026, 6:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab891ba1c81909c9e9a5f29d4eb54 completed May 18, 2026, 6:58 a.m.
Created at: April 16, 2026, 8:39 p.m.