Triple

T38608163
Position Surface form Disambiguated ID Type / Status
Subject Diputación Provincial de Salamanca E934402 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Palacio de la Salina
Palacio de la Salina is a historic Renaissance palace in Salamanca, Spain, notable for its distinctive courtyard and role as the seat of the provincial government.
E2276152 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: Palacio de la Salina | Statement: [Diputación Provincial de Salamanca, hasAdministrativeCenter, Palacio de la Salina]
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: Palacio de la Salina
Triple: [Diputación Provincial de Salamanca, hasAdministrativeCenter, Palacio de la Salina]
Generated description
Palacio de la Salina is a historic Renaissance palace in Salamanca, Spain, notable for its distinctive courtyard and role as the seat of the provincial government.

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_69f76eccd6d081909ccce171011739a1 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd96cda148190b19acdd6e7204d90 completed May 7, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41eaac6adc81909aab5ae41590237d completed June 29, 2026, 3:46 a.m.
NEDg Description generation batch_6a41eb3a46008190b64f71f254890bec completed June 29, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_6a41ebbcc9dc81908c568a8a4603dfb2 completed June 29, 2026, 3:51 a.m.
Created at: May 3, 2026, 4:32 p.m.