Triple

T7545095
Position Surface form Disambiguated ID Type / Status
Subject Chilton County E178380 entity
Predicate hasTown P847 FINISHED
Object Thorsby
Thorsby is a small town located in Chilton County, Alabama, known for its agricultural roots and rural community character.
 E672266 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: Thorsby | Statement: [Chilton County, hasTown, Thorsby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thorsby
Context triple: [Chilton County, hasTown, Thorsby]
  • A. Thornsett
    Thornsett is a small rural settlement located within the High Peak area of Derbyshire in England.
  • B. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • C. Mörby
    Mörby is a locality in the Stockholm area of Sweden served by a station on the Roslagsbanan narrow-gauge railway line.
  • D. Brynseng
    Brynseng is a neighborhood and transport hub in Oslo, Norway, served by the Oslo Metro and other public transit connections.
  • E. Hallingby
    Hallingby is a small village in the municipality of Ringerike in Buskerud county, Norway.
  • 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: Thorsby
Triple: [Chilton County, hasTown, Thorsby]
Generated description
Thorsby is a small town located in Chilton County, Alabama, known for its agricultural roots and rural community character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thorsby
Target entity description: Thorsby is a small town located in Chilton County, Alabama, known for its agricultural roots and rural community character.
  • A. Thornsett
    Thornsett is a small rural settlement located within the High Peak area of Derbyshire in England.
  • B. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • C. Mörby
    Mörby is a locality in the Stockholm area of Sweden served by a station on the Roslagsbanan narrow-gauge railway line.
  • D. Brynseng
    Brynseng is a neighborhood and transport hub in Oslo, Norway, served by the Oslo Metro and other public transit connections.
  • E. Hallingby
    Hallingby is a small village in the municipality of Ringerike in Buskerud county, Norway.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f898069881909fa8f9c885c4565b completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f21aa5c819085e8d1ecbd9b01e3 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c852da8c048190b2a0696f2e7b65c1 completed March 28, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69c853958b748190b4ecc9797389cc85 completed March 28, 2026, 10:17 p.m.
Created at: March 27, 2026, 3:48 p.m.