Triple

T8390485
Position Surface form Disambiguated ID Type / Status
Subject Nimba County E197930 entity
Predicate capital P234 FINISHED
Object Sanniquellie
Sanniquellie is a town in northeastern Liberia that serves as an administrative and commercial center in the region.
 E730797 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: Sanniquellie | Statement: [Nimba County, capital, Sanniquellie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sanniquellie
Context triple: [Nimba County, capital, Sanniquellie]
  • A. Mudonna
    Mudonna is the costumed pig mascot of the St. Paul Saints minor league baseball team, known for her playful antics and fan interaction at games.
  • B. Allerona
    Allerona is a small historic hill town in the Umbria region of central Italy, known for its medieval architecture and scenic countryside.
  • C. Ulalume
    "Ulalume" is a dark, melancholic poem by Edgar Allan Poe that explores themes of grief, memory, and the haunting power of lost love.
  • D. Carmina
    Carmina is a collection of Latin poems by the French Renaissance humanist and scholar Étienne Dolet.
  • E. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • 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: Sanniquellie
Triple: [Nimba County, capital, Sanniquellie]
Generated description
Sanniquellie is a town in northeastern Liberia that serves as an administrative and commercial center in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sanniquellie
Target entity description: Sanniquellie is a town in northeastern Liberia that serves as an administrative and commercial center in the region.
  • A. Mudonna
    Mudonna is the costumed pig mascot of the St. Paul Saints minor league baseball team, known for her playful antics and fan interaction at games.
  • B. Allerona
    Allerona is a small historic hill town in the Umbria region of central Italy, known for its medieval architecture and scenic countryside.
  • C. Ulalume
    "Ulalume" is a dark, melancholic poem by Edgar Allan Poe that explores themes of grief, memory, and the haunting power of lost love.
  • D. Carmina
    Carmina is a collection of Latin poems by the French Renaissance humanist and scholar Étienne Dolet.
  • E. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810c5c5c81908e124c64911c4e6c completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde84d6f3c8190ba12905ba5900087 completed April 2, 2026, 3:53 a.m.
NEDg Description generation batch_69cdebfc63e8819087f5c1d588b58e21 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cded77618c81909e8786ccd2f3e4b6 completed April 2, 2026, 4:15 a.m.
Created at: March 30, 2026, 6:03 p.m.