Triple
T14005496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clapham Common |
E336935
|
entity |
| Predicate | hasPond |
P35
|
FINISHED |
| Object |
Mount Pond
Mount Pond is a notable ornamental lake situated within Clapham Common in south London.
|
E1091051
|
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: Mount Pond | Statement: [Clapham Common, hasPond, Mount Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Pond Context triple: [Clapham Common, hasPond, Mount Pond]
-
A.
Gumpas Pond
Gumpas Pond is a small freshwater pond located in the town of Pelham in southern New Hampshire, popular for local recreation and scenic views.
-
B.
Mount Tom Pond
Mount Tom Pond is a scenic freshwater lake in Connecticut known for its recreational opportunities such as swimming, fishing, and boating within Mount Tom State Park.
-
C.
Grenadier Pond
Grenadier Pond is a large natural pond in Toronto, Ontario, known for its wildlife, fishing, and scenic setting within High Park.
-
D.
Georgiaville Pond
Georgiaville Pond is a small reservoir in Georgiaville, Rhode Island, commonly used for local recreation such as fishing, boating, and swimming.
-
E.
Angle Pond
Angle Pond is a recreational lake in Sandown, New Hampshire, known for activities such as boating, fishing, and lakeside relaxation.
- 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: Mount Pond Triple: [Clapham Common, hasPond, Mount Pond]
Generated description
Mount Pond is a notable ornamental lake situated within Clapham Common in south London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Pond Target entity description: Mount Pond is a notable ornamental lake situated within Clapham Common in south London.
-
A.
Gumpas Pond
Gumpas Pond is a small freshwater pond located in the town of Pelham in southern New Hampshire, popular for local recreation and scenic views.
-
B.
Mount Tom Pond
Mount Tom Pond is a scenic freshwater lake in Connecticut known for its recreational opportunities such as swimming, fishing, and boating within Mount Tom State Park.
-
C.
Grenadier Pond
Grenadier Pond is a large natural pond in Toronto, Ontario, known for its wildlife, fishing, and scenic setting within High Park.
-
D.
Georgiaville Pond
Georgiaville Pond is a small reservoir in Georgiaville, Rhode Island, commonly used for local recreation such as fishing, boating, and swimming.
-
E.
Angle Pond
Angle Pond is a recreational lake in Sandown, New Hampshire, known for activities such as boating, fishing, and lakeside relaxation.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed1d2548190bb46d6b7cba4ffde |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d0008dc819088fcfbfe3640af47 |
completed | May 8, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69fd3e13914c81908f4dcda7f0f6a927 |
completed | May 8, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3ee3f66081909301276aeee05350 |
completed | May 8, 2026, 1:39 a.m. |
Created at: April 9, 2026, 10:19 p.m.