Triple
T8015695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maroni River |
E186608
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Marowijne
Marowijne is a major river in northeastern South America that forms part of the border between Suriname and French Guiana.
|
E707573
|
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: Marowijne | Statement: [Maroni River, alsoKnownAs, Marowijne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marowijne Context triple: [Maroni River, alsoKnownAs, Marowijne]
-
A.
Mollerussa
Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
-
B.
De Haan
De Haan is a seaside resort town on the Belgian coast, known for its Belle Époque architecture and beaches.
-
C.
Wallabia
Wallabia is a genus of marsupials that includes the swamp wallaby, a small to medium-sized grazing macropod native to eastern Australia.
-
D.
Waras
Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
-
E.
Wanaruah
Wanaruah is an alternative ethnonym for the Wonnarua, an Aboriginal Australian people traditionally associated with the Hunter Valley region of New South Wales.
- 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: Marowijne Triple: [Maroni River, alsoKnownAs, Marowijne]
Generated description
Marowijne is a major river in northeastern South America that forms part of the border between Suriname and French Guiana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marowijne Target entity description: Marowijne is a major river in northeastern South America that forms part of the border between Suriname and French Guiana.
-
A.
Mollerussa
Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
-
B.
De Haan
De Haan is a seaside resort town on the Belgian coast, known for its Belle Époque architecture and beaches.
-
C.
Wallabia
Wallabia is a genus of marsupials that includes the swamp wallaby, a small to medium-sized grazing macropod native to eastern Australia.
-
D.
Waras
Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
-
E.
Wanaruah
Wanaruah is an alternative ethnonym for the Wonnarua, an Aboriginal Australian people traditionally associated with the Hunter Valley region of New South Wales.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df37a00819088780e5461bc5b41 |
completed | March 31, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56ba88b88190ad279d79d7f0ffd7 |
completed | March 31, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_69cc58a9e94081908980e2c60be38642 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cbaefb481909eb325f0d27675c0 |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:20 p.m.