Triple

T28642156
Position Surface form Disambiguated ID Type / Status
Subject Plaza de la Catedral (Oviedo) E724956 entity
Predicate hasNearbySquare P7888 FINISHED
Object Plaza de Alfonso II el Casto (Oviedo)
Plaza de Alfonso II el Casto is a historic square in Oviedo, Spain, known for its proximity to the cathedral and its role as a central point in the city’s old town.
E1828861 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: Plaza de Alfonso II el Casto (Oviedo) | Statement: [Plaza de la Catedral (Oviedo), hasNearbySquare, Plaza de Alfonso II el Casto (Oviedo)]
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: Plaza de Alfonso II el Casto (Oviedo)
Triple: [Plaza de la Catedral (Oviedo), hasNearbySquare, Plaza de Alfonso II el Casto (Oviedo)]
Generated description
Plaza de Alfonso II el Casto is a historic square in Oviedo, Spain, known for its proximity to the cathedral and its role as a central point in the city’s old town.

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_69f01d8423888190bd2f4e52605bf261 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f652abfe8081908f68e19f185a48bd completed May 2, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cc38399f48190badca7ef7b623fb0 completed May 31, 2026, 11:25 p.m.
NEDg Description generation batch_6a1cc44ac1448190b0dc305eb5e460be completed May 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a1cc571b3b481908c523e5bad5e086a completed May 31, 2026, 11:34 p.m.
Created at: April 28, 2026, 4:45 a.m.