Triple

T31039723
Position Surface form Disambiguated ID Type / Status
Subject José Manuel de Goyeneche E790954 entity
Predicate nobleTitle P914 FINISHED
Object Count of Guaqui
The Count of Guaqui is a Spanish noble title historically associated with José Manuel de Goyeneche, a prominent military leader and colonial administrator in early 19th-century Spanish America.
E1941781 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: Count of Guaqui | Statement: [José Manuel de Goyeneche, nobleTitle, Count of Guaqui]
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: Count of Guaqui
Triple: [José Manuel de Goyeneche, nobleTitle, Count of Guaqui]
Generated description
The Count of Guaqui is a Spanish noble title historically associated with José Manuel de Goyeneche, a prominent military leader and colonial administrator in early 19th-century Spanish 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_69f224ca2fa881908a3ac5fedf207b90 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f694f8cc988190b8e6e87a9d1f7d41 completed May 3, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2918512f0c819085dab4e40c16f999 completed June 10, 2026, 7:54 a.m.
NEDg Description generation batch_6a2918daf1908190add61b9b2fcdd225 completed June 10, 2026, 7:57 a.m.
NED2 Entity disambiguation (via description) batch_6a29193ba2608190b1074431dd5d72fb completed June 10, 2026, 7:58 a.m.
Created at: April 29, 2026, 8:59 p.m.