Triple

T1170000
Position Surface form Disambiguated ID Type / Status
Subject Recife E24891 entity
Predicate hasPart P35 FINISHED
Object Sancho
Sancho is a neighborhood or district within the Brazilian coastal city of Recife.
 E133000 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: Sancho | Statement: [Recife, hasPart, Sancho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sancho
Context triple: [Recife, hasPart, Sancho]
  • A. Sancho Panza
    Sancho Panza is the loyal, down-to-earth squire and comic foil to the idealistic knight-errant Don Quixote in Miguel de Cervantes' classic novel.
  • B. Sancio Cabot
    Sancio Cabot was a son of the Italian explorer John Cabot, likely associated with his father's late 15th-century voyages of discovery under the English flag.
  • C. Quichotte
    Quichotte is a 2019 novel by Salman Rushdie that reimagines Cervantes’ Don Quixote in contemporary America, blending satire, metafiction, and social commentary.
  • D. Pánfilo
    Pánfilo is a masculine given name of Spanish origin, historically associated with the conquistador Pánfilo de Narváez.
  • E. Gonzalo
    Gonzalo is a masculine given name of Spanish origin, historically borne by notable figures such as conquistadors, nobles, and literary characters.
  • 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: Sancho
Triple: [Recife, hasPart, Sancho]
Generated description
Sancho is a neighborhood or district within the Brazilian coastal city of Recife.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sancho
Target entity description: Sancho is a neighborhood or district within the Brazilian coastal city of Recife.
  • A. Sancho Panza
    Sancho Panza is the loyal, down-to-earth squire and comic foil to the idealistic knight-errant Don Quixote in Miguel de Cervantes' classic novel.
  • B. Sancio Cabot
    Sancio Cabot was a son of the Italian explorer John Cabot, likely associated with his father's late 15th-century voyages of discovery under the English flag.
  • C. Quichotte
    Quichotte is a 2019 novel by Salman Rushdie that reimagines Cervantes’ Don Quixote in contemporary America, blending satire, metafiction, and social commentary.
  • D. Pánfilo
    Pánfilo is a masculine given name of Spanish origin, historically associated with the conquistador Pánfilo de Narváez.
  • E. Gonzalo
    Gonzalo is a masculine given name of Spanish origin, historically borne by notable figures such as conquistadors, nobles, and literary characters.
  • 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_69ac66879aec819098293c440a0e09a6 completed March 7, 2026, 5:55 p.m.
NEDg Description generation batch_69ac66fd58308190bb4cb09581d4a8de completed March 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac677e147081909d9f64884c443f82 completed March 7, 2026, 5:59 p.m.
Created at: March 1, 2026, 7:45 p.m.