Triple
T4990659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeira River |
E112120
|
entity |
| Predicate | cityOnRiver |
P165
|
FINISHED |
| Object |
Humaitá
Humaitá is a Brazilian riverside city in the state of Amazonas, known for its location along the Madeira River and its role as a regional hub in the western Amazon.
|
E485403
|
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: Humaitá | Statement: [Madeira River, cityOnRiver, Humaitá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Humaitá Context triple: [Madeira River, cityOnRiver, Humaitá]
-
A.
Humaitá
Humaitá is a historic town in southern Paraguay known for its strategic role and heavily fortified position during the Paraguayan War.
-
B.
Rurrenabaque
Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
-
C.
Combarbalá
Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
-
D.
Caxangá
Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
-
E.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
- 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: Humaitá Triple: [Madeira River, cityOnRiver, Humaitá]
Generated description
Humaitá is a Brazilian riverside city in the state of Amazonas, known for its location along the Madeira River and its role as a regional hub in the western Amazon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Humaitá Target entity description: Humaitá is a Brazilian riverside city in the state of Amazonas, known for its location along the Madeira River and its role as a regional hub in the western Amazon.
-
A.
Humaitá
Humaitá is a historic town in southern Paraguay known for its strategic role and heavily fortified position during the Paraguayan War.
-
B.
Rurrenabaque
Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
-
C.
Combarbalá
Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
-
D.
Caxangá
Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
-
E.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
- 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_69bd728141d48190a0713e6d33c50fb6 |
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.