Triple

T27156421
Position Surface form Disambiguated ID Type / Status
Subject Penn State University Libraries E682530 entity
Predicate hasBranch P35 FINISHED
Object York campus library
The York campus library is the academic library serving Penn State's York campus, providing students and faculty with research resources, study spaces, and information services.
 E1756843 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: York campus library | Statement: [Penn State University Libraries, hasBranch, York campus library]
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: York campus library
Triple: [Penn State University Libraries, hasBranch, York campus library]
Generated description
The York campus library is the academic library serving Penn State's York campus, providing students and faculty with research resources, study spaces, and information services.

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_69eefaceb2a08190b9659b7f730629f5 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f625076cd8819085dfd3d9d955f035 completed May 2, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12482d95308190b01fd8e6632905b3 completed May 24, 2026, 12:37 a.m.
NEDg Description generation batch_6a1248bbf1608190a87ffa2885256df7 completed May 24, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_6a12495a291481909f278a9bd423fea7 completed May 24, 2026, 12:42 a.m.
Created at: April 27, 2026, 9:16 a.m.