Triple

T15255105
Position Surface form Disambiguated ID Type / Status
Subject Valinhos E364624 entity
Predicate hasNickname P39 FINISHED
Object Terra do Figo e da Uva
Terra do Figo e da Uva is a nickname highlighting Valinhos’s traditional reputation as a major Brazilian producer of figs and grapes.
E1147254 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: Terra do Figo e da Uva | Statement: [Valinhos, hasNickname, Terra do Figo e da Uva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terra do Figo e da Uva
Context triple: [Valinhos, hasNickname, Terra do Figo e da Uva]
  • A. Terra de Miranda
    Terra de Miranda is a culturally distinct region in northeastern Portugal known for preserving the Mirandese language and unique local traditions.
  • B. Cidade das Flores
    Cidade das Flores is a picturesque Brazilian city renowned for its mild climate, abundant gardens, and vibrant floral displays.
  • C. Tierra de Barros
    Tierra de Barros is a renowned wine- and olive-producing comarca in southwestern Spain characterized by its fertile, clay-rich soils.
  • D. Capital da Laranja
    Capital da Laranja is a nickname for the Brazilian city of Limeira, historically known for its prominent orange production.
  • E. Tierra de Campos
    Tierra de Campos is a vast, historically agricultural plain in northwestern Spain known for its cereal fields, traditional villages, and characteristic flat landscapes.
  • 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: Terra do Figo e da Uva
Triple: [Valinhos, hasNickname, Terra do Figo e da Uva]
Generated description
Terra do Figo e da Uva is a nickname highlighting Valinhos’s traditional reputation as a major Brazilian producer of figs and grapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Terra do Figo e da Uva
Target entity description: Terra do Figo e da Uva is a nickname highlighting Valinhos’s traditional reputation as a major Brazilian producer of figs and grapes.
  • A. Terra de Miranda
    Terra de Miranda is a culturally distinct region in northeastern Portugal known for preserving the Mirandese language and unique local traditions.
  • B. Cidade das Flores
    Cidade das Flores is a picturesque Brazilian city renowned for its mild climate, abundant gardens, and vibrant floral displays.
  • C. Tierra de Barros
    Tierra de Barros is a renowned wine- and olive-producing comarca in southwestern Spain characterized by its fertile, clay-rich soils.
  • D. Capital da Laranja
    Capital da Laranja is a nickname for the Brazilian city of Limeira, historically known for its prominent orange production.
  • E. Tierra de Campos
    Tierra de Campos is a vast, historically agricultural plain in northwestern Spain known for its cereal fields, traditional villages, and characteristic flat landscapes.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f8cb308190933c4478aa096e24 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f7bd2081909c003deb3a692f18 completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee8a977a48190940f0ed1aedea955 completed May 9, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_69fee9fd19708190afe3ec4c4eacfe66 completed May 9, 2026, 8:02 a.m.
Created at: April 10, 2026, 3:13 a.m.