Triple

T6587276
Position Surface form Disambiguated ID Type / Status
Subject Susquehanna County E159256 entity
Predicate hasCountySeat P383 FINISHED
Object Montrose
Montrose is a small borough in northeastern Pennsylvania that serves as the administrative and commercial center of Susquehanna County.
 E610449 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: Montrose | Statement: [Susquehanna County, hasCountySeat, Montrose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Montrose
Context triple: [Susquehanna County, hasCountySeat, Montrose]
  • A. Montrose
    Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
  • B. Montrose
    Montrose is a city in western Colorado known for its access to outdoor recreation, including nearby national parks and scenic mountain landscapes.
  • C. Montrose
    Montrose is a small town located in Dane County in the state of Wisconsin, United States.
  • D. Montrose
    Montrose is a Chicago Transit Authority 'L' station on the Blue Line serving the city's Northwest Side.
  • E. Montrose
    Montrose is a residential neighborhood within the town of Wakefield in Middlesex County, Massachusetts.
  • 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: Montrose
Triple: [Susquehanna County, hasCountySeat, Montrose]
Generated description
Montrose is a small borough in northeastern Pennsylvania that serves as the administrative and commercial center of Susquehanna County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Montrose
Target entity description: Montrose is a small borough in northeastern Pennsylvania that serves as the administrative and commercial center of Susquehanna County.
  • A. Montrose
    Montrose is a small town located in Dane County in the state of Wisconsin, United States.
  • B. Montrose
    Montrose is a residential neighborhood within the town of Wakefield in Middlesex County, Massachusetts.
  • C. Montrose
    Montrose is a city in western Colorado known for its access to outdoor recreation, including nearby national parks and scenic mountain landscapes.
  • D. Montrose
    Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
  • E. Montrose
    Montrose is a Chicago Transit Authority 'L' station on the Blue Line serving the city's Northwest Side.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeafd2848190bb51e3ea9711c803 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eedddd3c8190bd5505ba265ecf8d completed March 27, 2026, 8:55 p.m.
NEDg Description generation batch_69c6f26a7c488190b9f5653481003149 completed March 27, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6f321abd8819096640e037b205cb2 completed March 27, 2026, 9:14 p.m.
Created at: March 27, 2026, 1:55 p.m.