Triple

T12313260
Position Surface form Disambiguated ID Type / Status
Subject São Paulo State University E293534 entity
Predicate hasCampusIn P4623 FINISHED
Object Tupã
Tupã is a municipality in the state of São Paulo, Brazil, known for its regional agricultural economy and educational institutions.
 E976034 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: Tupã | Statement: [São Paulo State University, hasCampusIn, Tupã]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tupã
Context triple: [São Paulo State University, hasCampusIn, Tupã]
  • A. Winti
    Winti is a traditional Afro-Surinamese spiritual religion that centers on the veneration of nature spirits and ancestral forces through rituals, healing practices, and trance possession.
  • B. Yamaraja
    Yamaraja is the Hindu god of death and justice, who judges the souls of the dead and presides over the afterlife.
  • C. Tauá
    Tauá is a municipality in the interior of the Brazilian state of Ceará, known for its semi-arid landscape and regional agricultural activities.
  • D. Illapa
    Illapa is the Andean god of thunder, lightning, and rain, revered as a powerful weather deity crucial for agriculture in Inca religion.
  • E. Tuparí
    Tuparí is an indigenous language of the Tuparí people in Brazil, belonging to the Tuparic subgroup of the Tupian language family.
  • 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: Tupã
Triple: [São Paulo State University, hasCampusIn, Tupã]
Generated description
Tupã is a municipality in the state of São Paulo, Brazil, known for its regional agricultural economy and educational institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tupã
Target entity description: Tupã is a municipality in the state of São Paulo, Brazil, known for its regional agricultural economy and educational institutions.
  • A. Winti
    Winti is a traditional Afro-Surinamese spiritual religion that centers on the veneration of nature spirits and ancestral forces through rituals, healing practices, and trance possession.
  • B. Yamaraja
    Yamaraja is the Hindu god of death and justice, who judges the souls of the dead and presides over the afterlife.
  • C. Tauá
    Tauá is a municipality in the interior of the Brazilian state of Ceará, known for its semi-arid landscape and regional agricultural activities.
  • D. Illapa
    Illapa is the Andean god of thunder, lightning, and rain, revered as a powerful weather deity crucial for agriculture in Inca religion.
  • E. Tuparí
    Tuparí is an indigenous language of the Tuparí people in Brazil, belonging to the Tuparic subgroup of the Tupian language family.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f03d3c88190baedffb83465bff8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e86d45881909a9a3c09df0b78f1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f622a646c481908164ae5387625bb4 completed May 2, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_69f623fbb32081909b7daa515eebf75d completed May 2, 2026, 4:19 p.m.
Created at: April 8, 2026, 9:53 p.m.