Triple

T26528221
Position Surface form Disambiguated ID Type / Status
Subject Romanesque period in Spain E670748 entity
Predicate notableSite P2462 FINISHED
Object San Juan de Duero
San Juan de Duero is a medieval monastic complex near Soria, Spain, renowned for its distinctive Romanesque cloister with varied arches and rich architectural ornamentation.
E1732931 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: San Juan de Duero | Statement: [Romanesque period in Spain, notableSite, San Juan de Duero]
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: San Juan de Duero
Triple: [Romanesque period in Spain, notableSite, San Juan de Duero]
Generated description
San Juan de Duero is a medieval monastic complex near Soria, Spain, renowned for its distinctive Romanesque cloister with varied arches and rich architectural ornamentation.

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_69eeb31ea1e08190b9ff43cf9bc25bf8 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f613f4ecb48190a463bde18f550279 completed May 2, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c811cce88190aa313c108f47967a completed May 23, 2026, 3:30 p.m.
NEDg Description generation batch_6a11c990b5b0819089db74aa73b886a0 completed May 23, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_6a11ca68b0488190851b0634a0c784bd completed May 23, 2026, 3:40 p.m.
Created at: April 27, 2026, 1:33 a.m.