Triple

T35033548
Position Surface form Disambiguated ID Type / Status
Subject University of Delaware Library E1010845 entity
Predicate hasPart P35 FINISHED
Object Special Collections Department
The Special Collections Department is a division of the University of Delaware Library that preserves and provides access to rare books, manuscripts, archives, and other unique research materials.
 E2123320 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: Special Collections Department | Statement: [University of Delaware Library, hasPart, Special Collections Department]
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: Special Collections Department
Triple: [University of Delaware Library, hasPart, Special Collections Department]
Generated description
The Special Collections Department is a division of the University of Delaware Library that preserves and provides access to rare books, manuscripts, archives, and other unique research materials.

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_69f76dcea02c81908542a223f6d5059f completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7854aab088190a23d9b95aa93f938 completed May 3, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37bd2afc3081909fe8ff973dfd0e11 completed June 21, 2026, 10:30 a.m.
NEDg Description generation batch_6a37bdd99244819093669c98be46f903 completed June 21, 2026, 10:32 a.m.
NED2 Entity disambiguation (via description) batch_6a37bfd6e5a48190b6bcc0b9860ad4bb completed June 21, 2026, 10:41 a.m.
Created at: May 3, 2026, 4:01 p.m.