Triple
T2320246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delaware County, Ohio |
E51162
|
entity |
| Predicate | hasWaterBody |
P165
|
FINISHED |
| Object |
Delaware Lake
Delaware Lake is a man-made reservoir in central Ohio used for flood control, recreation, and wildlife habitat.
|
E306915
|
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: Delaware Lake | Statement: [Delaware County, Ohio, hasWaterBody, Delaware Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delaware Lake Context triple: [Delaware County, Ohio, hasWaterBody, Delaware Lake]
-
A.
Oneida Lake
Oneida Lake is a large, shallow lake in central New York known for its recreational fishing, boating, and role as an important link in the region’s waterways.
-
B.
Woods Lake
Woods Lake is a scenic alpine lake in the Sierra Nevada of California, popular for camping, fishing, and hiking in the Carson Pass area.
-
C.
Hemlock Lake
Hemlock Lake is one of New York State’s Finger Lakes, known for its undeveloped shoreline and role as a protected drinking water source.
-
D.
Messalonskee Lake
Messalonskee Lake is a large freshwater lake in central Maine known for recreation, fishing, and its scenic shoreline.
-
E.
Lay Lake
Lay Lake is a large reservoir on the Coosa River in central Alabama, popular for boating, fishing, and hydroelectric power generation.
- 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: Delaware Lake Triple: [Delaware County, Ohio, hasWaterBody, Delaware Lake]
Generated description
Delaware Lake is a man-made reservoir in central Ohio used for flood control, recreation, and wildlife habitat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Delaware Lake Target entity description: Delaware Lake is a man-made reservoir in central Ohio used for flood control, recreation, and wildlife habitat.
-
A.
Oneida Lake
Oneida Lake is a large, shallow lake in central New York known for its recreational fishing, boating, and role as an important link in the region’s waterways.
-
B.
Woods Lake
Woods Lake is a scenic alpine lake in the Sierra Nevada of California, popular for camping, fishing, and hiking in the Carson Pass area.
-
C.
Hemlock Lake
Hemlock Lake is one of New York State’s Finger Lakes, known for its undeveloped shoreline and role as a protected drinking water source.
-
D.
Messalonskee Lake
Messalonskee Lake is a large freshwater lake in central Maine known for recreation, fishing, and its scenic shoreline.
-
E.
Lay Lake
Lay Lake is a large reservoir on the Coosa River in central Alabama, popular for boating, fishing, and hydroelectric power generation.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc632474c8190972b4611a3a4ff8f |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b030fc819c8190a1bd9bba49760fec |
completed | March 10, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69b034d9140881909800f0f052fb4f83 |
completed | March 10, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b035b102b081908b0d9f272ab9c1b1 |
completed | March 10, 2026, 3:16 p.m. |
Created at: March 4, 2026, 7:49 p.m.