Triple
T7241139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhopal |
E155357
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Lower Lake
Lower Lake is a prominent urban lake in Bhopal, India, known for its scenic waterfront and role in the city's historic twin-lake system.
|
E770460
|
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: Lower Lake | Statement: [Bhopal, hasLake, Lower Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lower Lake Context triple: [Bhopal, hasLake, Lower Lake]
-
A.
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.
-
B.
Upper Lake
Upper Lake is an ornamental body of water within the landscaped grounds of Blenheim Palace in Oxfordshire, England.
-
C.
Manzanita Lake
Manzanita Lake is a scenic alpine lake in Northern California known for its clear waters, views of Lassen Peak, and popular opportunities for fishing, kayaking, and camping.
-
D.
Kerr Lake
Kerr Lake is a large man-made reservoir on the North Carolina–Virginia border known for boating, fishing, and camping.
-
E.
Willen Lake
Willen Lake is a large recreational lake and park in Milton Keynes, England, known for its watersports, walking trails, and family leisure facilities.
- 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: Lower Lake Triple: [Bhopal, hasLake, Lower Lake]
Generated description
Lower Lake is a prominent urban lake in Bhopal, India, known for its scenic waterfront and role in the city's historic twin-lake system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lower Lake Target entity description: Lower Lake is a prominent urban lake in Bhopal, India, known for its scenic waterfront and role in the city's historic twin-lake system.
-
A.
Upper Lake
Upper Lake is an ornamental body of water within the landscaped grounds of Blenheim Palace in Oxfordshire, England.
-
B.
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.
-
C.
Manzanita Lake
Manzanita Lake is a scenic alpine lake in Northern California known for its clear waters, views of Lassen Peak, and popular opportunities for fishing, kayaking, and camping.
-
D.
Kerr Lake
Kerr Lake is a large man-made reservoir on the North Carolina–Virginia border known for boating, fishing, and camping.
-
E.
Willen Lake
Willen Lake is a large recreational lake and park in Milton Keynes, England, known for its watersports, walking trails, and family leisure facilities.
- 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_69cfd04f80fc8190aae7c4823ddecb4a |
completed | April 3, 2026, 2:35 p.m. |
| NEDg | Description generation | batch_69cfd118aad08190bcba087d8925cd92 |
completed | April 3, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd17f502881908db49ad0c2065902 |
completed | April 3, 2026, 2:41 p.m. |
Created at: March 27, 2026, 2:55 p.m.