Triple

T30933078
Position Surface form Disambiguated ID Type / Status
Subject Michael Scott Paper Company E788046 entity
Predicate headquartersLocationInSeries P42063 FINISHED
Object Scranton Business Park
Scranton Business Park is a fictional office complex in the U.S. TV series "The Office," housing several companies including the Michael Scott Paper Company and Dunder Mifflin’s Scranton branch.
 E1939225 NE FINISHED

How this triple was built (3 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: Scranton Business Park | Statement: [Michael Scott Paper Company, headquartersLocationInSeries, Scranton Business Park]
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: Scranton Business Park
Triple: [Michael Scott Paper Company, headquartersLocationInSeries, Scranton Business Park]
Generated description
Scranton Business Park is a fictional office complex in the U.S. TV series "The Office," housing several companies including the Michael Scott Paper Company and Dunder Mifflin’s Scranton branch.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: headquartersLocationInSeries
Context triple: [Michael Scott Paper Company, headquartersLocationInSeries, Scranton Business Park]
  • A. headquartersLocation
    Indicates the place where an organization’s main administrative center or principal office is located.
  • B. headquartersAt
    Indicates that an organization’s main administrative center or primary office is located at a specified place.
  • C. finalHeadquarters
    Indicates the location that ultimately serves as an entity’s last or definitive headquarters.
  • D. headquartersFor
    Indicates that a location serves as the main administrative center or base of operations for an organization or entity.
  • E. fictionalHeadquartersLocation chosen
    Indicates the place where a fictional organization, group, or entity is based or has its main headquarters within a fictional context.
  • F. None of above.

Provenance (6 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_69f224c0b7fc819090cb89df60d23653 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f692e1aef48190b8ac1b2027013d94 completed May 3, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28e47400448190bd0c471c594862a6 completed June 10, 2026, 4:13 a.m.
NEDg Description generation batch_6a28e8a299908190a16f145e901f8edd completed June 10, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_6a28e91bbbcc8190bf420aaed9cf4b8a completed June 10, 2026, 4:33 a.m.
PD Predicate disambiguation batch_69f68b7ec098819080480998038de940 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:52 p.m.