Triple

T11226718
Position Surface form Disambiguated ID Type / Status
Subject Ban of Morava Banovina E265713 entity
Predicate hasTitle P38 FINISHED
Object Ban
Ban was a medieval noble title used in several Central and Southeast European states, often designating a high-ranking governor or viceroy.
 E912833 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: Ban | Statement: [Ban of Morava Banovina, hasTitle, Ban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ban
Context triple: [Ban of Morava Banovina, hasTitle, Ban]
  • A. Ban
    Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
  • B. Bar
    Bar is a small historic city in central-western Ukraine known for its strategic location and cultural heritage.
  • C. Bar
    Bar is a coastal city and major seaport in southern Montenegro on the Adriatic Sea.
  • D. Bal
    Bal is the given name of Bal Gangadhar Tilak, a prominent Indian nationalist leader and social reformer of the late 19th and early 20th centuries.
  • E. Bas
    Bas is a Sudanese-American rapper and songwriter from Queens, New York, best known as a Dreamville Records artist and frequent collaborator of J. Cole.
  • 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: Ban
Triple: [Ban of Morava Banovina, hasTitle, Ban]
Generated description
Ban was a medieval noble title used in several Central and Southeast European states, often designating a high-ranking governor or viceroy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ban
Target entity description: Ban was a medieval noble title used in several Central and Southeast European states, often designating a high-ranking governor or viceroy.
  • A. Ban
    Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
  • B. Bar
    Bar is a small historic city in central-western Ukraine known for its strategic location and cultural heritage.
  • C. Bar
    Bar is a coastal city and major seaport in southern Montenegro on the Adriatic Sea.
  • D. Bal
    Bal is the given name of Bal Gangadhar Tilak, a prominent Indian nationalist leader and social reformer of the late 19th and early 20th centuries.
  • E. Bas
    Bas is a Sudanese-American rapper and songwriter from Queens, New York, best known as a Dreamville Records artist and frequent collaborator of J. Cole.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ff7b40819089c835be710bc575 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad33fdf48190a7118c7c30577ec9 completed April 19, 2026, 10:23 a.m.
NEDg Description generation batch_69e4b1ee74748190a33449ce1b92813e completed April 19, 2026, 10:43 a.m.
NED2 Entity disambiguation (via description) batch_69e4b3d23b18819096f3a11aecc732bd completed April 19, 2026, 10:52 a.m.
Created at: April 8, 2026, 9:30 p.m.