Triple
T15554719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juruena River |
E370837
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
São Tomé River
The São Tomé River is a Brazilian watercourse that forms part of the Juruena River basin in the Amazon region.
|
E1163947
|
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: São Tomé River | Statement: [Juruena River, hasTributary, São Tomé River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Tomé River Context triple: [Juruena River, hasTributary, São Tomé River]
-
A.
Falémé River
The Falémé River is a significant West African river that flows through Guinea, Mali, and Senegal before joining the Senegal River.
-
B.
Ogou River
The Ogou River is a watercourse in West Africa that feeds into the Mono River system, contributing to the region’s hydrology and local livelihoods.
-
C.
Baoulé River
The Baoulé River is a significant West African waterway that forms part of the upper Niger River basin and contributes substantially to the flow of the Bani River.
-
D.
Bodocongó River
The Bodocongó River is a watercourse in the municipality of Campina Grande, in the state of Paraíba, Brazil.
-
E.
Tati River
The Tati River is a watercourse in northeastern Botswana that flows near Francistown and has historically supported local mining and settlement in the region.
- 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: São Tomé River Triple: [Juruena River, hasTributary, São Tomé River]
Generated description
The São Tomé River is a Brazilian watercourse that forms part of the Juruena River basin in the Amazon region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: São Tomé River Target entity description: The São Tomé River is a Brazilian watercourse that forms part of the Juruena River basin in the Amazon region.
-
A.
Falémé River
The Falémé River is a significant West African river that flows through Guinea, Mali, and Senegal before joining the Senegal River.
-
B.
Ogou River
The Ogou River is a watercourse in West Africa that feeds into the Mono River system, contributing to the region’s hydrology and local livelihoods.
-
C.
Baoulé River
The Baoulé River is a significant West African waterway that forms part of the upper Niger River basin and contributes substantially to the flow of the Bani River.
-
D.
Bodocongó River
The Bodocongó River is a watercourse in the municipality of Campina Grande, in the state of Paraíba, Brazil.
-
E.
Tati River
The Tati River is a watercourse in northeastern Botswana that flows near Francistown and has historically supported local mining and settlement in the region.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a96c0c88190808f68601a36b506 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456209288190aba6debd434af741 |
completed | May 9, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69ff471cb68c8190924e894b190f15f4 |
completed | May 9, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff47aeddac8190a87024019ecb1396 |
completed | May 9, 2026, 2:41 p.m. |
Created at: April 10, 2026, 4:09 a.m.