Triple
T820727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama |
E17742
|
entity |
| Predicate | containsLake |
P1025
|
FINISHED |
| Object |
Weiss Lake
Weiss Lake is a large reservoir in northeastern Alabama known for its extensive shoreline and popular crappie fishing.
|
E161102
|
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: Weiss Lake | Statement: [Alabama, containsLake, Weiss Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weiss Lake Context triple: [Alabama, containsLake, Weiss Lake]
-
A.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
B.
Echo Lake
Echo Lake is a themed area within Disney's Hollywood Studios that evokes 1930s Hollywood around a central lake, featuring attractions, dining, and entertainment.
-
C.
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.
-
D.
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.
-
E.
Canadice Lake
Canadice Lake is one of New York State’s smaller, undeveloped Finger Lakes, known for its pristine water and protected, wilderness-like surroundings.
- 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: Weiss Lake Triple: [Alabama, containsLake, Weiss Lake]
Generated description
Weiss Lake is a large reservoir in northeastern Alabama known for its extensive shoreline and popular crappie fishing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weiss Lake Target entity description: Weiss Lake is a large reservoir in northeastern Alabama known for its extensive shoreline and popular crappie fishing.
-
A.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
B.
Echo Lake
Echo Lake is a themed area within Disney's Hollywood Studios that evokes 1930s Hollywood around a central lake, featuring attractions, dining, and entertainment.
-
C.
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.
-
D.
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.
-
E.
Canadice Lake
Canadice Lake is one of New York State’s smaller, undeveloped Finger Lakes, known for its pristine water and protected, wilderness-like surroundings.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab6698d881908d8c5d91259f97ec |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace5371c2c8190861a5cbf9d089e4f |
completed | March 8, 2026, 2:55 a.m. |
| NEDg | Description generation | batch_69ace5db553c8190b0d09462411f3dcf |
completed | March 8, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace647c04881908ab550505110c29b |
completed | March 8, 2026, 3 a.m. |
Created at: March 1, 2026, 7:38 p.m.