Triple
T8526322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siamese Ponds Wilderness |
E201826
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hour Pond
Hour Pond is a remote, scenic backcountry lake in New York’s Adirondack Park, popular with hikers and anglers seeking a quiet wilderness setting.
|
E743080
|
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: Hour Pond | Statement: [Siamese Ponds Wilderness, contains, Hour Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hour Pond Context triple: [Siamese Ponds Wilderness, contains, Hour Pond]
-
A.
Heart Pond
Heart Pond is a popular recreational lake and beach area in Chelmsford, Massachusetts, known for swimming, fishing, and walking trails.
-
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 body of water located within the town of Freetown, Massachusetts, known for recreational activities such as boating and fishing.
-
D.
Round Pond
Round Pond is a large ornamental lake in London's Kensington Gardens, popular for model boating and leisure activities.
-
E.
Forge Pond
Forge Pond is a small recreational and scenic lake located in the town of Westford in northeastern Massachusetts.
- 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: Hour Pond Triple: [Siamese Ponds Wilderness, contains, Hour Pond]
Generated description
Hour Pond is a remote, scenic backcountry lake in New York’s Adirondack Park, popular with hikers and anglers seeking a quiet wilderness setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hour Pond Target entity description: Hour Pond is a remote, scenic backcountry lake in New York’s Adirondack Park, popular with hikers and anglers seeking a quiet wilderness setting.
-
A.
Heart Pond
Heart Pond is a popular recreational lake and beach area in Chelmsford, Massachusetts, known for swimming, fishing, and walking trails.
-
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 body of water located within the town of Freetown, Massachusetts, known for recreational activities such as boating and fishing.
-
D.
Round Pond
Round Pond is a large ornamental lake in London's Kensington Gardens, popular for model boating and leisure activities.
-
E.
Forge Pond
Forge Pond is a small recreational and scenic lake located in the town of Westford in northeastern Massachusetts.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6463fe48190b6d3482212356be1 |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce88f750cc819093c8902b2c285153 |
completed | April 2, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_69ce8b8a9cb08190b1860d8174a4400f |
completed | April 2, 2026, 3:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8c03480081909120e2f790fe4394 |
completed | April 2, 2026, 3:32 p.m. |
Created at: March 30, 2026, 6:16 p.m.