Triple

T5689259
Position Surface form Disambiguated ID Type / Status
Subject Mossoró E125387 entity
Predicate hasNickname P39 FINISHED
Object Terra do Sal
Terra do Sal is a nickname for Mossoró, a city in Brazil’s Rio Grande do Norte state known for its significant salt production.
 E541803 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 Sal | Statement: [Mossoró, hasNickname, Terra do Sal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terra do Sal
Context triple: [Mossoró, hasNickname, Terra do Sal]
  • A. Terra da Garoa
    Terra da Garoa is a popular nickname for the Brazilian metropolis of São Paulo, alluding to its characteristic light, misty rain.
  • B. Terra Chã
    Terra Chã is a civil parish on Terceira Island in the Azores, Portugal, forming part of the municipality of Angra do Heroísmo.
  • C. Southern Land
    Southern Land is the literal English meaning of the Latin term "Terra Australis," historically used to refer to a hypothetical great southern continent.
  • D. Horizonte
    Horizonte is a municipality in the state of Ceará in northeastern Brazil, known for its growing industrial sector and proximity to the Fortaleza metropolitan area.
  • E. Terra del Sole
    Terra del Sole is a historic fortified village in Emilia-Romagna, Italy, renowned as a 16th-century ideal Renaissance city founded by the Medici.
  • 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 Sal
Triple: [Mossoró, hasNickname, Terra do Sal]
Generated description
Terra do Sal is a nickname for Mossoró, a city in Brazil’s Rio Grande do Norte state known for its significant salt production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terra do Sal
Target entity description: Terra do Sal is a nickname for Mossoró, a city in Brazil’s Rio Grande do Norte state known for its significant salt production.
  • A. Terra da Garoa
    Terra da Garoa is a popular nickname for the Brazilian metropolis of São Paulo, alluding to its characteristic light, misty rain.
  • B. Terra Chã
    Terra Chã is a civil parish on Terceira Island in the Azores, Portugal, forming part of the municipality of Angra do Heroísmo.
  • C. Southern Land
    Southern Land is the literal English meaning of the Latin term "Terra Australis," historically used to refer to a hypothetical great southern continent.
  • D. Horizonte
    Horizonte is a municipality in the state of Ceará in northeastern Brazil, known for its growing industrial sector and proximity to the Fortaleza metropolitan area.
  • E. Terra del Sole
    Terra del Sole is a historic fortified village in Emilia-Romagna, Italy, renowned as a 16th-century ideal Renaissance city founded by the Medici.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e1c6148190aeae7620bd9ee9d4 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a47457c8190bc75f11a7f011a8a completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05dc222e88190a1d715392ae24f08 completed March 22, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69c0620ee1848190935f5f78abbed7ba completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:44 p.m.