Triple

T3355001
Position Surface form Disambiguated ID Type / Status
Subject Wolof Empire E70583 entity
Predicate followedBy P78 FINISHED
Object Sine
Sine was a precolonial Serer kingdom in what is now Senegal, known for its rich Serer culture, religious traditions, and resistance to Islamic and later French expansion.
 E350753 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: Sine | Statement: [Wolof Empire, followedBy, Sine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sine
Context triple: [Wolof Empire, followedBy, Sine]
  • A. Sines
    Sines is a coastal town in Portugal known as the birthplace of the famed explorer Vasco da Gama.
  • B. Trigon
    Trigon is a powerful demonic supervillain in the Teen Titans universe, best known as Raven’s tyrannical father and a major cosmic threat.
  • C. Zrsinus
    Zrsinus is the Latinized name of Zacharias Ursinus, a 16th-century German Reformed theologian best known as a principal author of the Heidelberg Catechism.
  • D. Sinn
    Sinn is a river in northern Bavaria, Germany, that flows through the Lower Franconia region.
  • E. Sinegal
    Sinegal is a surname most notably associated with James Sinegal, the co-founder and longtime CEO of Costco Wholesale Corporation.
  • 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: Sine
Triple: [Wolof Empire, followedBy, Sine]
Generated description
Sine was a precolonial Serer kingdom in what is now Senegal, known for its rich Serer culture, religious traditions, and resistance to Islamic and later French expansion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sine
Target entity description: Sine was a precolonial Serer kingdom in what is now Senegal, known for its rich Serer culture, religious traditions, and resistance to Islamic and later French expansion.
  • A. Sines
    Sines is a coastal town in Portugal known as the birthplace of the famed explorer Vasco da Gama.
  • B. Trigon
    Trigon is a powerful demonic supervillain in the Teen Titans universe, best known as Raven’s tyrannical father and a major cosmic threat.
  • C. Zrsinus
    Zrsinus is the Latinized name of Zacharias Ursinus, a 16th-century German Reformed theologian best known as a principal author of the Heidelberg Catechism.
  • D. Sinn
    Sinn is a river in northern Bavaria, Germany, that flows through the Lower Franconia region.
  • E. Sinegal
    Sinegal is a surname most notably associated with James Sinegal, the co-founder and longtime CEO of Costco Wholesale Corporation.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2419a808190a54fc03eeec6e42d completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3253b03e8819082a5bf5bd5c5d5cb completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b325ffdef081909b9665468f305336 completed March 12, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69b32714d57c8190a59619dfab19656f completed March 12, 2026, 8:50 p.m.
Created at: March 8, 2026, 3:13 p.m.