Triple

T8327821
Position Surface form Disambiguated ID Type / Status
Subject Bomi County E194998 entity
Predicate capital P234 FINISHED
Object Tubmanburg
Tubmanburg is a town in western Liberia that serves as the administrative and commercial center of Bomi County.
E725273 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: Tubmanburg | Statement: [Bomi County, capital, Tubmanburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tubmanburg
Context triple: [Bomi County, capital, Tubmanburg]
  • A. Boitsfort
    Boitsfort is a locality in the Brussels-Capital Region of Belgium, known for its residential character and proximity to the Sonian Forest.
  • B. Crotonville
    Crotonville is a small hamlet within the town of Ossining in Westchester County, New York.
  • C. Reister’s Town
    Reister’s Town was the original name of what is now Reisterstown, a historic community in Maryland that developed as a key stop along early travel routes northwest of Baltimore.
  • D. Montarville
    Montarville is a Canadian federal electoral district located in Quebec, represented in the House of Commons.
  • E. Sarratt
    Sarratt is a rural village in Hertfordshire, England, known for its traditional village green, historic buildings, and scenic Chilterns countryside.
  • 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: Tubmanburg
Triple: [Bomi County, capital, Tubmanburg]
Generated description
Tubmanburg is a town in western Liberia that serves as the administrative and commercial center of Bomi County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tubmanburg
Target entity description: Tubmanburg is a town in western Liberia that serves as the administrative and commercial center of Bomi County.
  • A. Boitsfort
    Boitsfort is a locality in the Brussels-Capital Region of Belgium, known for its residential character and proximity to the Sonian Forest.
  • B. Crotonville
    Crotonville is a small hamlet within the town of Ossining in Westchester County, New York.
  • C. Reister’s Town
    Reister’s Town was the original name of what is now Reisterstown, a historic community in Maryland that developed as a key stop along early travel routes northwest of Baltimore.
  • D. Montarville
    Montarville is a Canadian federal electoral district located in Quebec, represented in the House of Commons.
  • E. Sarratt
    Sarratt is a rural village in Hertfordshire, England, known for its traditional village green, historic buildings, and scenic Chilterns countryside.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f8243288190b1ae74d69395fc91 completed March 31, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95b92708819097795498f9ebcdfc completed April 1, 2026, 10:01 p.m.
NEDg Description generation batch_69cdab60ec308190a9001f9235e556b4 completed April 1, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69cdb2e3457c8190a2d0cb6eeb81c9ef completed April 2, 2026, 12:05 a.m.
Created at: March 30, 2026, 5:56 p.m.