Triple
T11837452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carshalton Ponds |
E281554
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Upper Pond
Upper Pond is one of the main ornamental lakes in the historic Carshalton Ponds water feature in Carshalton, South London.
|
E983162
|
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 Pond | Statement: [Carshalton Ponds, hasPart, Upper Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upper Pond Context triple: [Carshalton Ponds, hasPart, Upper Pond]
-
A.
Upper Pond
Upper Pond is a scenic ornamental lake within Catherine Park in Tsarskoye Selo, known for its landscaped surroundings and role in the park’s historic palace grounds.
-
B.
Long Pond
Long Pond is a large natural freshwater lake in Lakeville, Massachusetts, known for recreational boating, fishing, and its scenic residential shoreline.
-
C.
Long Pond
Long Pond is a scenic freshwater lake in Maine’s Belgrade Lakes region, popular for boating, fishing, and lakeside recreation.
-
D.
Long Pond
Long Pond is a body of water located within the town of Freetown, Massachusetts, known for recreational activities such as boating and fishing.
-
E.
Tivoli Pond
Tivoli Pond is a scenic ornamental lake within Ljubljana’s historic Tivoli Park, known for its tranquil setting, wildlife, and recreational appeal.
- 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 Pond Triple: [Carshalton Ponds, hasPart, Upper Pond]
Generated description
Upper Pond is one of the main ornamental lakes in the historic Carshalton Ponds water feature in Carshalton, South London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Upper Pond Target entity description: Upper Pond is one of the main ornamental lakes in the historic Carshalton Ponds water feature in Carshalton, South London.
-
A.
Upper Pond
Upper Pond is a scenic ornamental lake within Catherine Park in Tsarskoye Selo, known for its landscaped surroundings and role in the park’s historic palace grounds.
-
B.
Long Pond
Long Pond is a large natural freshwater lake in Lakeville, Massachusetts, known for recreational boating, fishing, and its scenic residential shoreline.
-
C.
Long Pond
Long Pond is a scenic freshwater lake in Maine’s Belgrade Lakes region, popular for boating, fishing, and lakeside recreation.
-
D.
Long Pond
Long Pond is a body of water located within the town of Freetown, Massachusetts, known for recreational activities such as boating and fishing.
-
E.
Tivoli Pond
Tivoli Pond is a scenic ornamental lake within Ljubljana’s historic Tivoli Park, known for its tranquil setting, wildlife, and recreational appeal.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62fec0881908c7b89c0b5bcc9a2 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63eda009481909870bd38200dd187 |
completed | May 2, 2026, 6:13 p.m. |
| NEDg | Description generation | batch_69f6400fe9888190ae8244ccc8e8bc39 |
completed | May 2, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6416ba1bc8190a772bffe4d83ec15 |
completed | May 2, 2026, 6:24 p.m. |
Created at: April 8, 2026, 9:43 p.m.