Triple
T19566864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mato Grosso |
E489604
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Lucas do Rio Verde
Lucas do Rio Verde is a rapidly growing agricultural city in central-western Brazil known for its large-scale soybean and corn production.
|
E1383579
|
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: Lucas do Rio Verde | Statement: [Mato Grosso, hasCity, Lucas do Rio Verde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucas do Rio Verde Context triple: [Mato Grosso, hasCity, Lucas do Rio Verde]
-
A.
Reinaldo
Reinaldo is a masculine given name of Spanish and Portuguese origin, equivalent to "Reynaldo" or "Reinald" in English.
-
B.
Casimiro
Casimiro is the commonly used name for Brazilian defensive midfielder Casemiro, a highly decorated footballer known for his success with Real Madrid and the Brazil national team.
-
C.
Leandro
Leandro is the given first name of Argentine jazz saxophonist and composer Gato Barbieri.
-
D.
Leandro
Leandro is a fictional character portrayed by British actor Ariyon Bakare, known from his work in film and television.
-
E.
Marcelo
Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
- 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: Lucas do Rio Verde Triple: [Mato Grosso, hasCity, Lucas do Rio Verde]
Generated description
Lucas do Rio Verde is a rapidly growing agricultural city in central-western Brazil known for its large-scale soybean and corn production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucas do Rio Verde Target entity description: Lucas do Rio Verde is a rapidly growing agricultural city in central-western Brazil known for its large-scale soybean and corn production.
-
A.
Reinaldo
Reinaldo is a masculine given name of Spanish and Portuguese origin, equivalent to "Reynaldo" or "Reinald" in English.
-
B.
Casimiro
Casimiro is the commonly used name for Brazilian defensive midfielder Casemiro, a highly decorated footballer known for his success with Real Madrid and the Brazil national team.
-
C.
Leandro
Leandro is the given first name of Argentine jazz saxophonist and composer Gato Barbieri.
-
D.
Leandro
Leandro is a fictional character portrayed by British actor Ariyon Bakare, known from his work in film and television.
-
E.
Marcelo
Marcelo is a surname most prominently associated with Sheila Lirio Marcelo, the Filipino-American entrepreneur who founded the caregiving platform Care.com.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f784ff88190a515c78429de3caf |
completed | April 20, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0757898214819090d82acf3fd830ff |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a075865eaac819085b35d165fda91d4 |
completed | May 15, 2026, 5:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07590b84488190a33889335ba95c95 |
completed | May 15, 2026, 5:34 p.m. |
Created at: April 10, 2026, 1:42 p.m.