Triple

T1170002
Position Surface form Disambiguated ID Type / Status
Subject Recife E24891 entity
Predicate hasPart P35 FINISHED
Object Totó
Totó is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
 E135143 NE FINISHED

How this triple was built (4 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: Totó | Statement: [Recife, hasPart, Totó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Totó
Context triple: [Recife, hasPart, Totó]
  • A. Pepa
    Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
  • B. Arsenio
    Arsenio is a masculine given name of Spanish origin, historically borne by several notable figures in Spanish-speaking countries.
  • C. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • D. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Perico
    Perico is a minor character in Ernest Hemingway's novella "The Old Man and the Sea," known as a young boy who helps the old fisherman Santiago by providing him with newspapers and showing him quiet support.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Totó
Triple: [Recife, hasPart, Totó]
Generated description
Totó is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Totó
Target entity description: Totó is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • A. Pepa
    Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
  • B. Arsenio
    Arsenio is a masculine given name of Spanish origin, historically borne by several notable figures in Spanish-speaking countries.
  • C. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • D. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Perico
    Perico is a minor character in Ernest Hemingway's novella "The Old Man and the Sea," known as a young boy who helps the old fisherman Santiago by providing him with newspapers and showing him quiet support.
  • F. None of above. chosen

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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bce972cc8190bce0b77cfda6da41 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f17aa608190920b7df62b8dd903 completed March 7, 2026, 6:31 p.m.
NEDg Description generation batch_69ac6fc5442c8190a5d824881f05d468 completed March 7, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69ac7026dda48190a72f671dba9ac17b completed March 7, 2026, 6:36 p.m.
Created at: March 1, 2026, 7:45 p.m.