Triple

T25130071
Position Surface form Disambiguated ID Type / Status
Subject Problem Books in Mathematics E629499 entity
Predicate hasPart P35 FINISHED
Object Problems in Discrete Mathematics
Problems in Discrete Mathematics is a problem-focused mathematics book that offers a collection of exercises and solutions covering fundamental topics in discrete mathematics such as logic, combinatorics, graph theory, and algorithms.
E1667079 NE 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: Problems in Discrete Mathematics | Statement: [Problem Books in Mathematics, hasPart, Problems in Discrete Mathematics]
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: Problems in Discrete Mathematics
Triple: [Problem Books in Mathematics, hasPart, Problems in Discrete Mathematics]
Generated description
Problems in Discrete Mathematics is a problem-focused mathematics book that offers a collection of exercises and solutions covering fundamental topics in discrete mathematics such as logic, combinatorics, graph theory, and algorithms.

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_69e2ff3288048190bd82c3b7f7bd0e62 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f465f79bd081909a2f5165aa89dc16 completed May 1, 2026, 8:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105cfc4b808190bd6f40efb5a97817 completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105df4d07881909cb98f27deeb0adb completed May 22, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a105f4ef2648190a3b26415b711b171 completed May 22, 2026, 1:51 p.m.
Created at: April 18, 2026, 6:28 a.m.