Triple

T962355
Position Surface form Disambiguated ID Type / Status
Subject Butler County E20762 entity
Predicate countySeat P383 FINISHED
Object Butler
Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
 E113121 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: Butler | Statement: [Butler County, countySeat, Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Butler
Context triple: [Butler County, countySeat, Butler]
  • A. Butler
    Butler is the party that served as the defendant in the landmark U.S. Supreme Court case United States v. Butler, which addressed the constitutionality of certain New Deal agricultural policies.
  • B. Baldwin
    Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
  • C. Harvey
    Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
  • D. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • E. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • 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: Butler
Triple: [Butler County, countySeat, Butler]
Generated description
Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Butler
Target entity description: Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
  • A. Butler
    Butler is the party that served as the defendant in the landmark U.S. Supreme Court case United States v. Butler, which addressed the constitutionality of certain New Deal agricultural policies.
  • B. Baldwin
    Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
  • C. Harvey
    Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
  • D. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • E. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b415ac688190bbcef455935a3116 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11a6107481909b152291a73958d3 completed March 7, 2026, 11:53 a.m.
NEDg Description generation batch_69ac12c5978481909be2d6e1ce85acd5 completed March 7, 2026, 11:57 a.m.
NED2 Entity disambiguation (via description) batch_69ac132f09448190b5f789f90328f81f completed March 7, 2026, 11:59 a.m.
Created at: March 1, 2026, 7:40 p.m.