Triple

T24446548
Position Surface form Disambiguated ID Type / Status
Subject Alejandro de la Sota E616420 entity
Predicate familyName P18 FINISHED
Object de la Sota
De la Sota is a Spanish surname notably borne by figures such as architect Alejandro de la Sota and various politicians and public personalities in Spain and Latin America.
 E1639456 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: de la Sota | Statement: [Alejandro de la Sota, familyName, de la Sota]
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: de la Sota
Triple: [Alejandro de la Sota, familyName, de la Sota]
Generated description
De la Sota is a Spanish surname notably borne by figures such as architect Alejandro de la Sota and various politicians and public personalities in Spain and Latin America.

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_69e2d7edca608190aafefc8877a1b4da completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29853a3ac81908bb5398539a44cd6 completed April 29, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fee6d49f08190b52aba10dd725568 completed May 22, 2026, 5:49 a.m.
NEDg Description generation batch_6a0fef9b5d0081909c38c3b72b0d0304 completed May 22, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff0cc90508190b5d68bedeb4531aa completed May 22, 2026, 5:59 a.m.
Created at: April 18, 2026, 2:17 a.m.