Triple

T9575671
Position Surface form Disambiguated ID Type / Status
Subject Rusk County, Texas E231038 entity
Predicate contains P35 FINISHED
Object New London, Texas
New London, Texas is a small East Texas town best known as the site of the 1937 New London School explosion, one of the deadliest school disasters in U.S. history.
E817320 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: New London, Texas | Statement: [Rusk County, Texas, contains, New London, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New London, Texas
Context triple: [Rusk County, Texas, contains, New London, Texas]
  • A. Newark, Texas
    Newark, Texas is a small city in the Dallas–Fort Worth metropolitan area known for its rural character and proximity to Eagle Mountain Lake.
  • B. Millican, Texas
    Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
  • C. Colfax, Texas
    Colfax, Texas is a small unincorporated rural community located in Van Zandt County in East Texas.
  • D. Roanoke, Texas
    Roanoke, Texas is a small city in the Dallas–Fort Worth metropolitan area known for its historic downtown and designation as the “Unique Dining Capital of Texas.”
  • E. Cottonwood, Texas
    Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
  • 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: New London, Texas
Triple: [Rusk County, Texas, contains, New London, Texas]
Generated description
New London, Texas is a small East Texas town best known as the site of the 1937 New London School explosion, one of the deadliest school disasters in U.S. history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: New London, Texas
Target entity description: New London, Texas is a small East Texas town best known as the site of the 1937 New London School explosion, one of the deadliest school disasters in U.S. history.
  • A. Newark, Texas
    Newark, Texas is a small city in the Dallas–Fort Worth metropolitan area known for its rural character and proximity to Eagle Mountain Lake.
  • B. Millican, Texas
    Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
  • C. Colfax, Texas
    Colfax, Texas is a small unincorporated rural community located in Van Zandt County in East Texas.
  • D. Roanoke, Texas
    Roanoke, Texas is a small city in the Dallas–Fort Worth metropolitan area known for its historic downtown and designation as the “Unique Dining Capital of Texas.”
  • E. Cottonwood, Texas
    Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aa964c8190a50717edff30f10b completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f60aa508190b3966f4b917c41b5 completed April 4, 2026, 11:31 p.m.
NEDg Description generation batch_69d1a3cc5420819091ee338da5afe4b7 completed April 4, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69d1a5f265148190af432e3640221a33 completed April 4, 2026, 11:59 p.m.
Created at: March 30, 2026, 8:05 p.m.