Triple
T12223366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Catarina |
E291275
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Criciúma
Criciúma is an industrial city in southern Brazil known for its coal mining heritage and ceramics production.
|
E973929
|
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: Criciúma | Statement: [Santa Catarina, hasCity, Criciúma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Criciúma Context triple: [Santa Catarina, hasCity, Criciúma]
-
A.
Brusque
Brusque is a city in the Brazilian state of Santa Catarina known for its strong German-Brazilian heritage and textile industry.
-
B.
Itajaí
Itajaí is a coastal city in the Brazilian state of Santa Catarina known for its strong German-Brazilian cultural heritage and important Atlantic port.
-
C.
Baraguá
Baraguá is a historic locality in eastern Cuba best known as the site of the 1878 Baraguá Protest, a landmark act of resistance during the Ten Years' War for Cuban independence.
-
D.
Pelotas
Pelotas is a historic city in southern Brazil known for its colonial architecture, cultural festivals, and traditional sweets industry.
-
E.
Atibaia
Atibaia is a municipality in southeastern Brazil known for its mild climate, flower and strawberry production, and proximity to São Paulo city.
- 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: Criciúma Triple: [Santa Catarina, hasCity, Criciúma]
Generated description
Criciúma is an industrial city in southern Brazil known for its coal mining heritage and ceramics production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Criciúma Target entity description: Criciúma is an industrial city in southern Brazil known for its coal mining heritage and ceramics production.
-
A.
Brusque
Brusque is a city in the Brazilian state of Santa Catarina known for its strong German-Brazilian heritage and textile industry.
-
B.
Itajaí
Itajaí is a coastal city in the Brazilian state of Santa Catarina known for its strong German-Brazilian cultural heritage and important Atlantic port.
-
C.
Baraguá
Baraguá is a historic locality in eastern Cuba best known as the site of the 1878 Baraguá Protest, a landmark act of resistance during the Ten Years' War for Cuban independence.
-
D.
Pelotas
Pelotas is a historic city in southern Brazil known for its colonial architecture, cultural festivals, and traditional sweets industry.
-
E.
Atibaia
Atibaia is a municipality in southeastern Brazil known for its mild climate, flower and strawberry production, and proximity to São Paulo city.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca11f788190bad2efb6c83ffccb |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5c1c988190a80917dfe782a6b6 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5b107c819082094791fcf7c5f4 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62006afcc8190b8e3b55a5fd8eaca |
completed | May 2, 2026, 4:02 p.m. |
Created at: April 8, 2026, 9:51 p.m.