Triple

T905097
Position Surface form Disambiguated ID Type / Status
Subject Wilkes-Barre, Pennsylvania E19528 entity
Predicate hasNeighborhood P40 FINISHED
Object Parsons
Parsons is a residential neighborhood located within the city of Wilkes-Barre in northeastern Pennsylvania.
E106749 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: Parsons | Statement: [Wilkes-Barre, Pennsylvania, hasNeighborhood, Parsons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parsons
Context triple: [Wilkes-Barre, Pennsylvania, hasNeighborhood, Parsons]
  • A. Stevens
    Stevens is a common English-language surname borne by numerous notable individuals across fields such as sports, politics, arts, and academia.
  • B. Sherwin
    Sherwin is a surname most notably associated with Martin J. Sherwin, an American historian known for his work on nuclear history and the life of J. Robert Oppenheimer.
  • C. Sloan
    Sloan is a surname most notably associated with Alfred P. Sloan, the influential long-time president and chairman of General Motors.
  • D. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • E. Fuller
    Fuller is a surname of English origin borne by numerous notable individuals across fields such as film, architecture, literature, and politics.
  • 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: Parsons
Triple: [Wilkes-Barre, Pennsylvania, hasNeighborhood, Parsons]
Generated description
Parsons is a residential neighborhood located within the city of Wilkes-Barre in northeastern Pennsylvania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Parsons
Target entity description: Parsons is a residential neighborhood located within the city of Wilkes-Barre in northeastern Pennsylvania.
  • A. Stevens
    Stevens is a common English-language surname borne by numerous notable individuals across fields such as sports, politics, arts, and academia.
  • B. Sherwin
    Sherwin is a surname most notably associated with Martin J. Sherwin, an American historian known for his work on nuclear history and the life of J. Robert Oppenheimer.
  • C. Sloan
    Sloan is a surname most notably associated with Alfred P. Sloan, the influential long-time president and chairman of General Motors.
  • D. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • E. Fuller
    Fuller is a surname of English origin borne by numerous notable individuals across fields such as film, architecture, literature, and politics.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2caf4088190ab05b22531ecec43 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c7391e6c8190836e8d7e7fdf9c93 completed March 4, 2026, 5:46 a.m.
NEDg Description generation batch_69a7c78ba0008190bf884de7f89b4655 completed March 4, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_69a7c8991e7c81908c31d60f9a7f2340 completed March 4, 2026, 5:52 a.m.
Created at: March 1, 2026, 7:39 p.m.