Triple

T25223195
Position Surface form Disambiguated ID Type / Status
Subject Patio de Escuelas E632016 entity
Predicate hasPart P35 FINISHED
Object Rectorate of the University of Salamanca
The Rectorate of the University of Salamanca is the historic administrative headquarters of one of Spain’s oldest universities, located within the university’s central Patio de Escuelas complex.
E1682415 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: Rectorate of the University of Salamanca | Statement: [Patio de Escuelas, hasPart, Rectorate of the University of Salamanca]
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: Rectorate of the University of Salamanca
Triple: [Patio de Escuelas, hasPart, Rectorate of the University of Salamanca]
Generated description
The Rectorate of the University of Salamanca is the historic administrative headquarters of one of Spain’s oldest universities, located within the university’s central Patio de Escuelas complex.

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_69e75a8e0f688190a7aebe9a4815e25b completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f47cc166548190898ef3bd661ddb58 completed May 1, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10ad3f36ec81909b384fb604fc8c66 completed May 22, 2026, 7:23 p.m.
NEDg Description generation batch_6a10ae56b8a48190a448e1a4bd938a2b completed May 22, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_6a10af45b9048190b1613ef21fa00caf completed May 22, 2026, 7:32 p.m.
Created at: April 21, 2026, 1:03 p.m.