Triple

T23400432
Position Surface form Disambiguated ID Type / Status
Subject Sousa microregion E559488 entity
Predicate containsMunicipality P852 FINISHED
Object Lastro
Lastro is a small municipality located in the state of Paraíba in Brazil’s Northeast region.
E1583727 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: Lastro | Statement: [Sousa microregion, containsMunicipality, Lastro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lastro
Context triple: [Sousa microregion, containsMunicipality, Lastro]
  • A. De Luna
    De Luna is a surname and variant of the name Luna, historically associated with Spanish-speaking regions and families.
  • B. De Caelo
    De Caelo is Aristotle’s influential philosophical treatise on the structure and nature of the cosmos, including his theories of celestial spheres and the physical composition of the universe.
  • C. Estrella
    Estrella is a central character in Pedro Calderón de la Barca’s Spanish Golden Age play "La vida es sueño," whose role intertwines with themes of destiny, honor, and political intrigue.
  • D. Estrella
    Estrella is a master-planned residential community in Goodyear, Arizona, known for its scenic desert setting, lakes, and family-oriented amenities.
  • E. Estrella
    Estrella is one of the character pieces in Robert Schumann’s piano cycle Carnaval, Op. 9, often noted for its lyrical and intimate musical character.
  • 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: Lastro
Triple: [Sousa microregion, containsMunicipality, Lastro]
Generated description
Lastro is a small municipality located in the state of Paraíba in Brazil’s Northeast region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lastro
Target entity description: Lastro is a small municipality located in the state of Paraíba in Brazil’s Northeast region.
  • A. De Luna
    De Luna is a surname and variant of the name Luna, historically associated with Spanish-speaking regions and families.
  • B. De Caelo
    De Caelo is Aristotle’s influential philosophical treatise on the structure and nature of the cosmos, including his theories of celestial spheres and the physical composition of the universe.
  • C. Estrella
    Estrella is a central character in Pedro Calderón de la Barca’s Spanish Golden Age play "La vida es sueño," whose role intertwines with themes of destiny, honor, and political intrigue.
  • D. Estrella
    Estrella is one of the character pieces in Robert Schumann’s piano cycle Carnaval, Op. 9, often noted for its lyrical and intimate musical character.
  • E. Estrella
    Estrella is a master-planned residential community in Goodyear, Arizona, known for its scenic desert setting, lakes, and family-oriented amenities.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4dedfcc8190ab93cec3c3d15c53 completed April 29, 2026, 6:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5df194bc819084aa4de85966c68f completed May 19, 2026, 12:56 p.m.
NEDg Description generation batch_6a0c5f52fe308190b87c53f9a9d915e0 completed May 19, 2026, 1:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0c5ffbea40819088a5a01a3763c718 completed May 19, 2026, 1:05 p.m.
Created at: April 17, 2026, 5:37 p.m.