Triple
T4990434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago |
E112115
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Assomada
Assomada is a central market town and important commercial hub on the island of Santiago in Cape Verde.
|
E485384
|
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: Assomada | Statement: [Santiago, containsCity, Assomada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assomada Context triple: [Santiago, containsCity, Assomada]
-
A.
Gravedona
Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
-
B.
Las Breas
Las Breas is a small settlement located within the Río Hurtado area of Chile, likely characterized by its rural Andean setting and agricultural activities.
-
C.
Navolato
Navolato is a coastal agricultural city and municipality in the Mexican state of Sinaloa, known especially for its sugarcane production.
-
D.
Tumba
Tumba is a suburban locality in Stockholm County, Sweden, known for its residential areas and historical paper mill industry.
-
E.
Semprún
Semprún is the surname of Jorge Semprún, the Spanish-born writer, politician, and Holocaust survivor known for his works on exile, memory, and totalitarianism.
- 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: Assomada Triple: [Santiago, containsCity, Assomada]
Generated description
Assomada is a central market town and important commercial hub on the island of Santiago in Cape Verde.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Assomada Target entity description: Assomada is a central market town and important commercial hub on the island of Santiago in Cape Verde.
-
A.
Gravedona
Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
-
B.
Las Breas
Las Breas is a small settlement located within the Río Hurtado area of Chile, likely characterized by its rural Andean setting and agricultural activities.
-
C.
Navolato
Navolato is a coastal agricultural city and municipality in the Mexican state of Sinaloa, known especially for its sugarcane production.
-
D.
Tumba
Tumba is a suburban locality in Stockholm County, Sweden, known for its residential areas and historical paper mill industry.
-
E.
Semprún
Semprún is the surname of Jorge Semprún, the Spanish-born writer, politician, and Holocaust survivor known for his works on exile, memory, and totalitarianism.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd727fe55881909d42e41b832b9ece |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a282dd08190a29b92e8e825a3bb |
completed | March 21, 2026, 12:08 p.m. |
| NEDg | Description generation | batch_69be8d747c40819098ac5d475d60ab46 |
completed | March 21, 2026, 12:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8df7ab9c8190b1af6e32f0f33b30 |
completed | March 21, 2026, 12:24 p.m. |
Created at: March 20, 2026, 1:34 p.m.