Triple
T10850553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanty Creek Resorts |
E256131
|
entity |
| Predicate | nearBodyOfWater |
P1489
|
FINISHED |
| Object |
Lake Bellaire
Lake Bellaire is a scenic inland lake in northern Michigan known for boating, fishing, and its connection to the Chain of Lakes waterway system.
|
E888765
|
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: Lake Bellaire | Statement: [Shanty Creek Resorts, nearBodyOfWater, Lake Bellaire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Bellaire Context triple: [Shanty Creek Resorts, nearBodyOfWater, Lake Bellaire]
-
A.
Lake Hunt
Lake Hunt is a small recreational lake located in or near Reidsville, North Carolina.
-
B.
Lake Travis
Lake Travis is a large, popular reservoir on the Colorado River in central Texas known for boating, fishing, and waterfront recreation near Austin.
-
C.
Lake Austin
Lake Austin is a dammed section of the Colorado River in central Texas, popular for boating, fishing, and upscale waterfront homes near Austin.
-
D.
Lady Bird Lake
Lady Bird Lake is a popular reservoir and recreational waterfront in downtown Austin, Texas, known for its scenic trails, kayaking, and skyline views.
-
E.
Lake Dallas
Lake Dallas is a small suburban city in North Texas that forms part of the greater Dallas–Fort Worth metropolitan area.
- 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: Lake Bellaire Triple: [Shanty Creek Resorts, nearBodyOfWater, Lake Bellaire]
Generated description
Lake Bellaire is a scenic inland lake in northern Michigan known for boating, fishing, and its connection to the Chain of Lakes waterway system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Bellaire Target entity description: Lake Bellaire is a scenic inland lake in northern Michigan known for boating, fishing, and its connection to the Chain of Lakes waterway system.
-
A.
Lake Hunt
Lake Hunt is a small recreational lake located in or near Reidsville, North Carolina.
-
B.
Lake Travis
Lake Travis is a large, popular reservoir on the Colorado River in central Texas known for boating, fishing, and waterfront recreation near Austin.
-
C.
Lake Austin
Lake Austin is a dammed section of the Colorado River in central Texas, popular for boating, fishing, and upscale waterfront homes near Austin.
-
D.
Lady Bird Lake
Lady Bird Lake is a popular reservoir and recreational waterfront in downtown Austin, Texas, known for its scenic trails, kayaking, and skyline views.
-
E.
Lake Dallas
Lake Dallas is a small suburban city in North Texas that forms part of the greater Dallas–Fort Worth metropolitan area.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75116af20819084c7f8fa88d18e61 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb17d978c8190883b4a56e88859de |
completed | April 14, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69deb515ab608190981689bcad4b7530 |
completed | April 14, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69deb602fa908190bffdd291932da3f1 |
completed | April 14, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:20 p.m.