Triple
T10172645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christchurch Park |
E235368
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Round Pond
Round Pond is a small ornamental lake located within Christchurch Park in Ipswich, England, known for its wildlife and scenic surroundings.
|
E897553
|
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: Round Pond | Statement: [Christchurch Park, hasPart, Round Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Round Pond Context triple: [Christchurch Park, hasPart, Round Pond]
-
A.
Round Pond
Round Pond is a large ornamental lake in London's Kensington Gardens, popular for model boating and leisure activities.
-
B.
Angle Pond
Angle Pond is a recreational lake in Sandown, New Hampshire, known for activities such as boating, fishing, and lakeside relaxation.
-
C.
Lotus Pond
Lotus Pond is a scenic lake and popular tourist attraction in Kaohsiung, Taiwan, known for its temples, pagodas, and lotus-covered waters.
-
D.
Spot Pond
Spot Pond is a scenic freshwater reservoir in Stoneham, Massachusetts, known for its recreational use and role in the Boston-area water supply system.
-
E.
Sand Pond
Sand Pond is a small natural pond located within the Blackwell Forest Preserve in DuPage County, Illinois, known for its scenic setting and wildlife habitat.
- 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: Round Pond Triple: [Christchurch Park, hasPart, Round Pond]
Generated description
Round Pond is a small ornamental lake located within Christchurch Park in Ipswich, England, known for its wildlife and scenic surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Round Pond Target entity description: Round Pond is a small ornamental lake located within Christchurch Park in Ipswich, England, known for its wildlife and scenic surroundings.
-
A.
Round Pond
Round Pond is a large ornamental lake in London's Kensington Gardens, popular for model boating and leisure activities.
-
B.
Angle Pond
Angle Pond is a recreational lake in Sandown, New Hampshire, known for activities such as boating, fishing, and lakeside relaxation.
-
C.
Lotus Pond
Lotus Pond is a scenic lake and popular tourist attraction in Kaohsiung, Taiwan, known for its temples, pagodas, and lotus-covered waters.
-
D.
Spot Pond
Spot Pond is a scenic freshwater reservoir in Stoneham, Massachusetts, known for its recreational use and role in the Boston-area water supply system.
-
E.
Sand Pond
Sand Pond is a small natural pond located within the Blackwell Forest Preserve in DuPage County, Illinois, known for its scenic setting and wildlife habitat.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9f6dd8819081588600499165ee |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e343941ae481909489cf7a4abdba68 |
completed | April 18, 2026, 8:40 a.m. |
| NEDg | Description generation | batch_69e3556ad7ec819095b3babc67ecdfd4 |
completed | April 18, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e358f860f08190bfd10519ff3806aa |
completed | April 18, 2026, 10:12 a.m. |
Created at: March 30, 2026, 9:10 p.m.