Triple

T36766645
Position Surface form Disambiguated ID Type / Status
Subject José Vasconcelos E908357 entity
Predicate educatedAt P5 FINISHED
Object National School of Jurisprudence
The National School of Jurisprudence was a prominent Mexican law school in Mexico City that trained many influential jurists, politicians, and intellectuals in the late 19th and early 20th centuries.
E2198006 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: National School of Jurisprudence | Statement: [José Vasconcelos, educatedAt, National School of Jurisprudence]
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: National School of Jurisprudence
Triple: [José Vasconcelos, educatedAt, National School of Jurisprudence]
Generated description
The National School of Jurisprudence was a prominent Mexican law school in Mexico City that trained many influential jurists, politicians, and intellectuals in the late 19th and early 20th centuries.

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_69f76e786ba481909cdcf6cf6b39dd32 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c981240c819089bac537309067dd completed May 3, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3c17457a9c8190a756a4414170ec3a completed June 24, 2026, 5:43 p.m.
NEDg Description generation batch_6a3c49aa50f4819091bc6cfe25a2b162 completed June 24, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_6a3c8827b2dc8190a01730e1903020ae completed June 25, 2026, 1:45 a.m.
Created at: May 3, 2026, 4:12 p.m.