Triple
T11086360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahr el Ghazal |
E262129
|
entity |
| Predicate | confluenceNear |
P8203
|
FINISHED |
| Object |
Lake No
Lake No is a shallow freshwater lake in South Sudan, located near the junction of major Nile tributaries and serving as an important ecological and hydrological node in the Sudd wetlands.
|
E904021
|
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: Lake No | Statement: [Bahr el Ghazal, confluenceNear, Lake No]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake No Context triple: [Bahr el Ghazal, confluenceNear, Lake No]
-
A.
Lake
Lake is a common English surname that has been borne by various notable individuals in fields such as music, politics, and sports.
-
B.
Lake
Lake is a Chicago Transit Authority 'L' station in the Loop that serves the Red Line subway.
-
C.
No Name Lake
No Name Lake is a small, vividly turquoise alpine lake nestled near the Broken Top volcano in Oregon’s Cascade Range, popular with hikers and photographers for its striking scenery.
-
D.
The Lake
The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
-
E.
The Lake
The Lake is a painting by British artist L. S. Lowry, known for his distinctive depictions of industrial landscapes and urban life.
- 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: Lake No Triple: [Bahr el Ghazal, confluenceNear, Lake No]
Generated description
Lake No is a shallow freshwater lake in South Sudan, located near the junction of major Nile tributaries and serving as an important ecological and hydrological node in the Sudd wetlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake No Target entity description: Lake No is a shallow freshwater lake in South Sudan, located near the junction of major Nile tributaries and serving as an important ecological and hydrological node in the Sudd wetlands.
-
A.
Lake
Lake is a common English surname that has been borne by various notable individuals in fields such as music, politics, and sports.
-
B.
Lake
Lake is a Chicago Transit Authority 'L' station in the Loop that serves the Red Line subway.
-
C.
No Name Lake
No Name Lake is a small, vividly turquoise alpine lake nestled near the Broken Top volcano in Oregon’s Cascade Range, popular with hikers and photographers for its striking scenery.
-
D.
The Lake
The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
-
E.
The Lake
The Lake is a painting by British artist L. S. Lowry, known for his distinctive depictions of industrial landscapes and urban life.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799c3ed9c8190a3f5cdf1fe0e74a2 |
completed | April 9, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7a6dfa8819096f822294eb64dd1 |
completed | April 18, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69e3f2cafc008190a3504999297f1e4e |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f488819081908f9a4225279cde6b |
completed | April 18, 2026, 9:15 p.m. |
Created at: April 8, 2026, 9:27 p.m.