Triple

T12972529
Position Surface form Disambiguated ID Type / Status
Subject Shelby County, Texas E321436 entity
Predicate seat P75 FINISHED
Object Center, Texas
Center, Texas is a small East Texas city that serves as the administrative and commercial hub of Shelby County.
E1039705 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: Center, Texas | Statement: [Shelby County, Texas, seat, Center, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Center, Texas
Context triple: [Shelby County, Texas, seat, Center, Texas]
  • A. Centerville, Texas
    Centerville, Texas is a small rural city that serves as the county seat of Leon County in eastern Central Texas.
  • B. Decatur, Texas
    Decatur, Texas is a small North Texas city known as a regional hub for agriculture, ranching, and oil and gas activity northwest of the Dallas–Fort Worth metroplex.
  • C. Commerce, Texas
    Commerce, Texas is a small city in northeastern Texas best known as the home of Texas A&M University–Commerce.
  • D. Cypress, Texas
    Cypress, Texas is an unincorporated suburban community in Harris County, Texas, known for its master-planned neighborhoods, strong school districts, and location northwest of Houston.
  • E. Navasota, Texas
    Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
  • 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: Center, Texas
Triple: [Shelby County, Texas, seat, Center, Texas]
Generated description
Center, Texas is a small East Texas city that serves as the administrative and commercial hub of Shelby County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Center, Texas
Target entity description: Center, Texas is a small East Texas city that serves as the administrative and commercial hub of Shelby County.
  • A. Centerville, Texas
    Centerville, Texas is a small rural city that serves as the county seat of Leon County in eastern Central Texas.
  • B. Decatur, Texas
    Decatur, Texas is a small North Texas city known as a regional hub for agriculture, ranching, and oil and gas activity northwest of the Dallas–Fort Worth metroplex.
  • C. Commerce, Texas
    Commerce, Texas is a small city in northeastern Texas best known as the home of Texas A&M University–Commerce.
  • D. Cypress, Texas
    Cypress, Texas is an unincorporated suburban community in Harris County, Texas, known for its master-planned neighborhoods, strong school districts, and location northwest of Houston.
  • E. Navasota, Texas
    Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e418d548190be1c73db76cb3aa8 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73053a1888190a234e8c119a4202a completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f7313c6bcc8190a848cf8945a0ae2a completed May 3, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_69f736f2f6a081908d532dba6f34ed97 completed May 3, 2026, 11:52 a.m.
Created at: April 9, 2026, 8:36 p.m.