Triple

T16230739
Position Surface form Disambiguated ID Type / Status
Subject Carbon County E393972 entity
Predicate contains P35 FINISHED
Object Weatherly
Weatherly is a small borough in northeastern Pennsylvania known for its quiet residential character and proximity to the Pocono Mountains.
 E1200578 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: Weatherly | Statement: [Carbon County, contains, Weatherly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weatherly
Context triple: [Carbon County, contains, Weatherly]
  • A. Weatherly
    Weatherly is a surname most notably associated with American actor Michael Weatherly, known for his roles on television series such as NCIS and Bull.
  • B. Lofty
    Lofty is the nickname of Nat Lofthouse, the legendary English footballer famed for his prolific goal-scoring with Bolton Wanderers and England in the mid-20th century.
  • C. Finesse
    "Finesse" is a retro-inspired R&B and new jack swing song by Bruno Mars, widely recognized for its 1990s aesthetic and popular remix featuring Cardi B.
  • D. Doughty
    Doughty is a surname most prominently associated with Canadian professional ice hockey defenseman Drew Doughty of the NHL’s Los Angeles Kings.
  • E. Defy
    Defy is a Zenith watch collection known for its bold, contemporary design and advanced mechanical innovation.
  • 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: Weatherly
Triple: [Carbon County, contains, Weatherly]
Generated description
Weatherly is a small borough in northeastern Pennsylvania known for its quiet residential character and proximity to the Pocono Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weatherly
Target entity description: Weatherly is a small borough in northeastern Pennsylvania known for its quiet residential character and proximity to the Pocono Mountains.
  • A. Weatherly
    Weatherly is a surname most notably associated with American actor Michael Weatherly, known for his roles on television series such as NCIS and Bull.
  • B. Lofty
    Lofty is the nickname of Nat Lofthouse, the legendary English footballer famed for his prolific goal-scoring with Bolton Wanderers and England in the mid-20th century.
  • C. Finesse
    "Finesse" is a retro-inspired R&B and new jack swing song by Bruno Mars, widely recognized for its 1990s aesthetic and popular remix featuring Cardi B.
  • D. Doughty
    Doughty is a surname most prominently associated with Canadian professional ice hockey defenseman Drew Doughty of the NHL’s Los Angeles Kings.
  • E. Defy
    Defy is a Zenith watch collection known for its bold, contemporary design and advanced mechanical innovation.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d29438c81909aa2724cc47bb959 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007a0ab08819082aea4c312c9ffc7 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00098ea3e48190b0744f1eafab9ce2 completed May 10, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0009fb40a48190b82f6de80226d306 completed May 10, 2026, 4:30 a.m.
Created at: April 10, 2026, 5:03 a.m.