Triple
T3184888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Park |
E66674
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Mirror Pond
Mirror Pond is a scenic reflective lake in Catherine Park at Tsarskoye Selo, renowned for its picturesque views and tranquil landscape.
|
E342245
|
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: Mirror Pond | Statement: [Catherine Park, hasPart, Mirror Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirror Pond Context triple: [Catherine Park, hasPart, Mirror Pond]
-
A.
Round Pond
Round Pond is a large ornamental lake in London's Kensington Gardens, popular for model boating and leisure activities.
-
B.
Mirror Lake
Mirror Lake is a scenic body of water located within Hubbard Park, often enjoyed for its tranquil views and recreational surroundings.
-
C.
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.
-
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.
Moose Pond
Moose Pond is a scenic freshwater lake in western Maine known for boating, fishing, and its proximity to ski areas and vacation camps.
- 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: Mirror Pond Triple: [Catherine Park, hasPart, Mirror Pond]
Generated description
Mirror Pond is a scenic reflective lake in Catherine Park at Tsarskoye Selo, renowned for its picturesque views and tranquil landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mirror Pond Target entity description: Mirror Pond is a scenic reflective lake in Catherine Park at Tsarskoye Selo, renowned for its picturesque views and tranquil landscape.
-
A.
Round Pond
Round Pond is a large ornamental lake in London's Kensington Gardens, popular for model boating and leisure activities.
-
B.
Mirror Lake
Mirror Lake is a scenic body of water located within Hubbard Park, often enjoyed for its tranquil views and recreational surroundings.
-
C.
Upper Pond
chosen
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.
-
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.
Moose Pond
Moose Pond is a scenic freshwater lake in western Maine known for boating, fishing, and its proximity to ski areas and vacation camps.
- F. None of above.
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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6c1341081909793f8d05fddfd5e |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3b513248190a94c2f7642151515 |
completed | March 12, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_69b2f846f1ec8190826f299cc18384f1 |
completed | March 12, 2026, 5:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3135d102881908b9693846cc00762 |
completed | March 12, 2026, 7:26 p.m. |
Created at: March 8, 2026, 3:06 p.m.