Triple
T7241138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhopal |
E155357
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Upper Lake
Upper Lake is a historic man-made reservoir in Bhopal, India, known as one of the oldest and largest artificial lakes in the country and a key source of the city's drinking water.
|
E687900
|
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: Upper Lake | Statement: [Bhopal, hasLake, Upper Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upper Lake Context triple: [Bhopal, hasLake, Upper Lake]
-
A.
Upper Lake
Upper Lake is an ornamental body of water within the landscaped grounds of Blenheim Palace in Oxfordshire, England.
-
B.
Middle Lake
Middle Lake is a local lake situated in the Benoni area of South Africa, known as part of the region’s network of urban water bodies.
-
C.
June Lake
June Lake is a scenic alpine lake and resort community in California’s Eastern Sierra Nevada, known for fishing, hiking, and skiing.
-
D.
Third Lake
Third Lake is a small residential village in Lake County, Illinois, known for its suburban character and the lake that shares its name.
-
E.
Third Lake
Third Lake is one of the interconnected Adirondack lakes in New York’s Fulton Chain, known for recreational boating, fishing, and scenic forested shorelines.
- 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: Upper Lake Triple: [Bhopal, hasLake, Upper Lake]
Generated description
Upper Lake is a historic man-made reservoir in Bhopal, India, known as one of the oldest and largest artificial lakes in the country and a key source of the city's drinking water.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Upper Lake Target entity description: Upper Lake is a historic man-made reservoir in Bhopal, India, known as one of the oldest and largest artificial lakes in the country and a key source of the city's drinking water.
-
A.
Upper Lake
Upper Lake is an ornamental body of water within the landscaped grounds of Blenheim Palace in Oxfordshire, England.
-
B.
Middle Lake
Middle Lake is a local lake situated in the Benoni area of South Africa, known as part of the region’s network of urban water bodies.
-
C.
June Lake
June Lake is a scenic alpine lake and resort community in California’s Eastern Sierra Nevada, known for fishing, hiking, and skiing.
-
D.
Third Lake
Third Lake is a small residential village in Lake County, Illinois, known for its suburban character and the lake that shares its name.
-
E.
Third Lake
Third Lake is one of the interconnected Adirondack lakes in New York’s Fulton Chain, known for recreational boating, fishing, and scenic forested shorelines.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea39230481908401ead83d8666cd |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7aa218081908cba76a4fdaa9f10 |
completed | March 29, 2026, 6:33 a.m. |
| NEDg | Description generation | batch_69c8c87bca908190a44e839824c23e95 |
completed | March 29, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c8e5e9f081908288b38ea25e81d2 |
completed | March 29, 2026, 6:38 a.m. |
Created at: March 27, 2026, 2:55 p.m.