Triple

T7666793
Position Surface form Disambiguated ID Type / Status
Subject Cengage Learning E173642 entity
Predicate brand P1500 FINISHED
Object Delmar
Delmar is an educational publishing imprint of Cengage Learning known for its vocational, technical, and professional training materials.
E679184 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: Delmar | Statement: [Cengage Learning, brand, Delmar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delmar
Context triple: [Cengage Learning, brand, Delmar]
  • A. Delmar, New York
    Delmar, New York is a suburban hamlet in Albany County known for its residential neighborhoods, quality schools, and role as a primary community within the town of Bethlehem.
  • B. Utica
    Utica was an ancient Phoenician colony in North Africa that became one of the earliest and most important urban centers in the western Mediterranean.
  • C. Dewey Point
    Dewey Point is a scenic overlook on Yosemite National Park’s south rim, known for its expansive views of Yosemite Valley and iconic granite cliffs.
  • D. Rochester
    Rochester is a small borough in western Pennsylvania situated along the Ohio River in Beaver County.
  • E. Rochester
    Rochester is a rural town in northern Victoria, Australia, known for its agricultural community and location near the Campaspe River.
  • 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: Delmar
Triple: [Cengage Learning, brand, Delmar]
Generated description
Delmar is an educational publishing imprint of Cengage Learning known for its vocational, technical, and professional training materials.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Delmar
Target entity description: Delmar is an educational publishing imprint of Cengage Learning known for its vocational, technical, and professional training materials.
  • A. Delmar, New York
    Delmar, New York is a suburban hamlet in Albany County known for its residential neighborhoods, quality schools, and role as a primary community within the town of Bethlehem.
  • B. Utica
    Utica was an ancient Phoenician colony in North Africa that became one of the earliest and most important urban centers in the western Mediterranean.
  • C. Rochester
    Rochester is a small borough in western Pennsylvania situated along the Ohio River in Beaver County.
  • D. Rochester
    Rochester is a rural town in northern Victoria, Australia, known for its agricultural community and location near the Campaspe River.
  • E. Rochester
    Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c1383c8190ab5bf803bd6211a9 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b260000819088d744ea8dc53cd2 completed March 29, 2026, 3:23 a.m.
NEDg Description generation batch_69c89c037d188190ace1c5e80a43aba0 completed March 29, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69c89c698f2c8190b5d2717835bd1d82 completed March 29, 2026, 3:28 a.m.
Created at: March 27, 2026, 4 p.m.