Triple

T8931928
Position Surface form Disambiguated ID Type / Status
Subject Montserrado County E212676 entity
Predicate hasCapital P204 FINISHED
Object Bensonville
Bensonville is a town in Liberia that serves as the administrative center of Montserrado County.
E765780 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: Bensonville | Statement: [Montserrado County, hasCapital, Bensonville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bensonville
Context triple: [Montserrado County, hasCapital, Bensonville]
  • A. Belle Vista
    Belle Vista is an alternate name for Lambert Castle, a historic 19th-century mansion and museum located in Paterson, New Jersey.
  • B. Bella Vista
    Bella Vista is a historic, culturally vibrant neighborhood in South Philadelphia known for its Italian Market and diverse dining scene.
  • C. Bella Vista
    Bella Vista is a small unincorporated community in Northern California’s Shasta County, known for its rural setting near Redding.
  • D. Maybrook
    Maybrook is a small village in Orange County, New York, historically known as a railroad hub and residential community in the Hudson Valley region.
  • E. Bloomfield
    Bloomfield is a small city in southeastern Iowa that serves as the county seat of Davis County.
  • 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: Bensonville
Triple: [Montserrado County, hasCapital, Bensonville]
Generated description
Bensonville is a town in Liberia that serves as the administrative center of Montserrado County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bensonville
Target entity description: Bensonville is a town in Liberia that serves as the administrative center of Montserrado County.
  • A. Belle Vista
    Belle Vista is an alternate name for Lambert Castle, a historic 19th-century mansion and museum located in Paterson, New Jersey.
  • B. Bella Vista
    Bella Vista is a historic, culturally vibrant neighborhood in South Philadelphia known for its Italian Market and diverse dining scene.
  • C. Bella Vista
    Bella Vista is a small unincorporated community in Northern California’s Shasta County, known for its rural setting near Redding.
  • D. Maybrook
    Maybrook is a small village in Orange County, New York, historically known as a railroad hub and residential community in the Hudson Valley region.
  • E. Bloomfield
    Bloomfield is a small city in southeastern Iowa that serves as the county seat of Davis County.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668e5c108190b08f9cd6b4fd4a8b completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba64dadc8190aea6f7528acab37a completed April 3, 2026, 1:02 p.m.
NEDg Description generation batch_69cfbb29eb4c81908d74d738d196c3c9 completed April 3, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_69cfbba71a948190afc03a1df9e5777c completed April 3, 2026, 1:07 p.m.
Created at: March 30, 2026, 6:57 p.m.