Triple

T8781619
Position Surface form Disambiguated ID Type / Status
Subject Ruggles Sylvester Morse E208742 entity
Predicate typeOfEntrepreneurship P46461 FINISHED
Object hotel business LITERAL FINISHED

How this triple was built (2 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: hotel business | Statement: [Ruggles Sylvester Morse, typeOfEntrepreneurship, hotel business]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfEntrepreneurship
Context triple: [Ruggles Sylvester Morse, typeOfEntrepreneurship, hotel business]
  • A. typeOfEntrepreneur
    Indicates the specific category or kind of entrepreneur that an entity is classified as.
  • B. entrepreneurialDomain chosen
    Indicates that an entity operates within, is associated with, or belongs to a particular field or sector of entrepreneurial activity.
  • C. entrepreneurialFocus
    Indicates a relationship where an entity prioritizes or emphasizes entrepreneurial activities, initiatives, or mindset in its behavior or strategy.
  • D. hasTypeOfBusinesses
    Indicates that an entity is associated with or contains specific categories or kinds of businesses.
  • E. businessModelType
    Indicates the type or category of business model that characterizes how an entity creates, delivers, and captures value.
  • F. None of above.

Provenance (3 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f55b7b08190ab3e18cd634a144b completed March 31, 2026, 11:57 p.m.
PD Predicate disambiguation batch_69cc5c1aff3881908be6a9cbc9f50461 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:42 p.m.