Triple

T6469539
Position Surface form Disambiguated ID Type / Status
Subject Tupi–Guaraní E142312 entity
Predicate hasLanguage P15 FINISHED
Object Xingu Asuriní
Xingu Asuriní is an indigenous language of the Tupi–Guaraní family spoken by the Asuriní people living along Brazil’s Xingu River.
E597886 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: Xingu Asuriní | Statement: [Tupi–Guaraní, hasLanguage, Xingu Asuriní]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xingu Asuriní
Context triple: [Tupi–Guaraní, hasLanguage, Xingu Asuriní]
  • A. Quixeramobim
    Quixeramobim is a municipality in northeastern Brazil known for its semi-arid landscape and agricultural activities within the state of Ceará.
  • B. Pirassununga
    Pirassununga is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and as a site of a major University of São Paulo campus.
  • C. Panarima
    Panarima is a musical track featured on the album "Legend of the Sun Virgin."
  • D. Itabaiana
    Itabaiana is a prominent inland city in the Brazilian state of Sergipe, known for its vibrant commerce, agricultural production, and strategic location as a regional hub.
  • E. Aracati
    Aracati is a historic coastal city in northeastern Brazil known for its colonial architecture and nearby Canoa Quebrada beach.
  • 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: Xingu Asuriní
Triple: [Tupi–Guaraní, hasLanguage, Xingu Asuriní]
Generated description
Xingu Asuriní is an indigenous language of the Tupi–Guaraní family spoken by the Asuriní people living along Brazil’s Xingu River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xingu Asuriní
Target entity description: Xingu Asuriní is an indigenous language of the Tupi–Guaraní family spoken by the Asuriní people living along Brazil’s Xingu River.
  • A. Quixeramobim
    Quixeramobim is a municipality in northeastern Brazil known for its semi-arid landscape and agricultural activities within the state of Ceará.
  • B. Pirassununga
    Pirassununga is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and as a site of a major University of São Paulo campus.
  • C. Panarima
    Panarima is a musical track featured on the album "Legend of the Sun Virgin."
  • D. Itabaiana
    Itabaiana is a prominent inland city in the Brazilian state of Sergipe, known for its vibrant commerce, agricultural production, and strategic location as a regional hub.
  • E. Aracati
    Aracati is a historic coastal city in northeastern Brazil known for its colonial architecture and nearby Canoa Quebrada beach.
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a16272c81909313455002cd884d completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c66382f9ac81908d9cb444ab596d04 completed March 27, 2026, 11:01 a.m.
NEDg Description generation batch_69c6646fa43c819085338458113e5bf9 completed March 27, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69c664d154dc81908d48056d272c56fa completed March 27, 2026, 11:06 a.m.
Created at: March 22, 2026, 4:50 p.m.