Triple

T8931935
Position Surface form Disambiguated ID Type / Status
Subject Montserrado County E212676 entity
Predicate contains P35 FINISHED
Object Careysburg
Careysburg is a historic town in Liberia known as one of the early settlements established for freed African-American and Caribbean settlers.
E765783 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: Careysburg | Statement: [Montserrado County, contains, Careysburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Careysburg
Context triple: [Montserrado County, contains, Careysburg]
  • A. Lastoursville
    Lastoursville is a town in central Gabon known as a regional hub along the Trans-Gabon Railway and for its nearby cave systems and karst landscapes.
  • B. Stewarttown
    Stewarttown is a small community located within the town of Halton Hills in Ontario, Canada.
  • C. Tylorstown
    Tylorstown is a former coal mining village in the Rhondda Fach valley in Rhondda Cynon Taf, Wales.
  • D. Hurtsboro
    Hurtsboro is a small town located in Russell County in eastern Alabama, known for its rural character and historic Southern charm.
  • E. Surrattsville
    Surrattsville is the former name of the community now known as Clinton, Maryland, historically associated with the events surrounding President Abraham Lincoln’s assassination.
  • 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: Careysburg
Triple: [Montserrado County, contains, Careysburg]
Generated description
Careysburg is a historic town in Liberia known as one of the early settlements established for freed African-American and Caribbean settlers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Careysburg
Target entity description: Careysburg is a historic town in Liberia known as one of the early settlements established for freed African-American and Caribbean settlers.
  • A. Lastoursville
    Lastoursville is a town in central Gabon known as a regional hub along the Trans-Gabon Railway and for its nearby cave systems and karst landscapes.
  • B. Stewarttown
    Stewarttown is a small community located within the town of Halton Hills in Ontario, Canada.
  • C. Tylorstown
    Tylorstown is a former coal mining village in the Rhondda Fach valley in Rhondda Cynon Taf, Wales.
  • D. Hurtsboro
    Hurtsboro is a small town located in Russell County in eastern Alabama, known for its rural character and historic Southern charm.
  • E. Surrattsville
    Surrattsville is the former name of the community now known as Clinton, Maryland, historically associated with the events surrounding President Abraham Lincoln’s assassination.
  • 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.