Triple
T11795844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vale do Itajaí |
E280503
|
entity |
| Predicate | containsAdministrativeTerritory |
P15909
|
FINISHED |
| Object |
Taió
Taió is a municipality in the state of Santa Catarina in southern Brazil, situated in the Vale do Itajaí region and known for its agricultural activities and scenic river landscapes.
|
E947185
|
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: Taió | Statement: [Vale do Itajaí, containsAdministrativeTerritory, Taió]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taió Context triple: [Vale do Itajaí, containsAdministrativeTerritory, Taió]
-
A.
Tiaong
Tiaong is a municipality in the province of Quezon in the Philippines, known for its agricultural economy and proximity to major transport routes in Southern Luzon.
-
B.
Tavo
Tavo is a common Spanish diminutive or nickname for the given name Gustavo.
-
C.
Geithain
Geithain is a small town in the German state of Saxony, known for its historic center and regional rail connections.
-
D.
Eadhild
Eadhild was a 10th-century English princess, daughter of King Edward the Elder, who became Queen of West Francia through her marriage to King Hugh the Great.
-
E.
Teosa
Teosa is a legislative assembly constituency located in the Amravati district of Maharashtra, India.
- 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: Taió Triple: [Vale do Itajaí, containsAdministrativeTerritory, Taió]
Generated description
Taió is a municipality in the state of Santa Catarina in southern Brazil, situated in the Vale do Itajaí region and known for its agricultural activities and scenic river landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taió Target entity description: Taió is a municipality in the state of Santa Catarina in southern Brazil, situated in the Vale do Itajaí region and known for its agricultural activities and scenic river landscapes.
-
A.
Tiaong
Tiaong is a municipality in the province of Quezon in the Philippines, known for its agricultural economy and proximity to major transport routes in Southern Luzon.
-
B.
Tavo
Tavo is a common Spanish diminutive or nickname for the given name Gustavo.
-
C.
Geithain
Geithain is a small town in the German state of Saxony, known for its historic center and regional rail connections.
-
D.
Eadhild
Eadhild was a 10th-century English princess, daughter of King Edward the Elder, who became Queen of West Francia through her marriage to King Hugh the Great.
-
E.
Teosa
Teosa is a legislative assembly constituency located in the Amravati district of Maharashtra, India.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a1cda0819092d66a82fd882786 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f130fd7b9881909e79ecb49fe98d30 |
completed | April 28, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69f141b1c50c819081a8055d951a49de |
completed | April 28, 2026, 11:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f14fcb63208190ad1185ad66314fa9 |
completed | April 29, 2026, 12:24 a.m. |
Created at: April 8, 2026, 9:42 p.m.