Triple

T37238732
Position Surface form Disambiguated ID Type / Status
Subject Butantã campus E923651 entity
Predicate hasRoadAccess P385 FINISHED
Object Avenida Professor Luciano Gualberto
Avenida Professor Luciano Gualberto is a major thoroughfare within the University of São Paulo’s Butantã campus in São Paulo, Brazil, serving as an important access route to its academic and administrative buildings.
E2244648 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: Avenida Professor Luciano Gualberto | Statement: [Butantã campus, hasRoadAccess, Avenida Professor Luciano Gualberto]
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: Avenida Professor Luciano Gualberto
Triple: [Butantã campus, hasRoadAccess, Avenida Professor Luciano Gualberto]
Generated description
Avenida Professor Luciano Gualberto is a major thoroughfare within the University of São Paulo’s Butantã campus in São Paulo, Brazil, serving as an important access route to its academic and administrative buildings.

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_69f76ea9fee88190a589f661d95a7189 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb36d22d2c81909d777612e62b385f completed May 6, 2026, 12:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40fb62b5a88190ba897880548a8629 completed June 28, 2026, 10:45 a.m.
NEDg Description generation batch_6a40fc57c3608190ab0313ad2f9d1263 completed June 28, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a40fcb794b48190828c38f5033084d4 completed June 28, 2026, 10:51 a.m.
Created at: May 3, 2026, 4:15 p.m.