Triple
T20064907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flåvatn |
E499582
|
entity |
| Predicate | inflow |
P415
|
FINISHED |
| Object |
Banda River
The Banda River is a watercourse in Norway that serves as a tributary feeding into the lake Flåvatn in the Telemark region.
|
E1535654
|
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: Banda River | Statement: [Flåvatn, inflow, Banda River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banda River Context triple: [Flåvatn, inflow, Banda River]
-
A.
Bandia River
The Bandia River is a lesser-known river in India that serves as a tributary of the Indravati River within the Godavari basin.
-
B.
Sabi River
The Sabi River is a major river in southeastern Africa that flows through Zimbabwe and Mozambique before emptying into the Indian Ocean.
-
C.
Ngadda River
The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
-
D.
Unya River
The Unya River is a waterway in northwestern Russia that feeds into the larger Pechora River system.
-
E.
Cuemba River
The Cuemba River is a watercourse in Angola that flows through Malanje Province, contributing to the region’s local hydrology and ecosystems.
- 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: Banda River Triple: [Flåvatn, inflow, Banda River]
Generated description
The Banda River is a watercourse in Norway that serves as a tributary feeding into the lake Flåvatn in the Telemark region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Banda River Target entity description: The Banda River is a watercourse in Norway that serves as a tributary feeding into the lake Flåvatn in the Telemark region.
-
A.
Bandia River
The Bandia River is a lesser-known river in India that serves as a tributary of the Indravati River within the Godavari basin.
-
B.
Sabi River
The Sabi River is a major river in southeastern Africa that flows through Zimbabwe and Mozambique before emptying into the Indian Ocean.
-
C.
Ngadda River
The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
-
D.
Unya River
The Unya River is a waterway in northwestern Russia that feeds into the larger Pechora River system.
-
E.
Cuemba River
The Cuemba River is a watercourse in Angola that flows through Malanje Province, contributing to the region’s local hydrology and ecosystems.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e663787190819096b2b78b38c1bf12 |
completed | April 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0c3ccc0819089f78016552e8553 |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af24f7d748190a1bcff53ba987dc7 |
completed | May 18, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af2e63a748190bb9743841a3c9f73 |
completed | May 18, 2026, 11:07 a.m. |
Created at: April 11, 2026, 3:39 p.m.