Triple
T820728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama |
E17742
|
entity |
| Predicate | containsLake |
P1025
|
FINISHED |
| Object |
Lay Lake
Lay Lake is a large reservoir on the Coosa River in central Alabama, popular for boating, fishing, and hydroelectric power generation.
|
E163378
|
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: Lay Lake | Statement: [Alabama, containsLake, Lay Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lay Lake Context triple: [Alabama, containsLake, Lay Lake]
-
A.
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.
-
B.
Walker Lake
Walker Lake is a large natural desert lake in western Nevada known for its shrinking water levels and importance as a habitat for migratory birds and native fish.
-
C.
Weiss Lake
Weiss Lake is a large reservoir in northeastern Alabama known for its extensive shoreline and popular crappie fishing.
-
D.
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.
-
E.
Ancylus Lake
Ancylus Lake was a large freshwater body that occupied the Baltic Sea basin after the last Ice Age, before it evolved into the modern brackish Baltic Sea.
- 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: Lay Lake Triple: [Alabama, containsLake, Lay Lake]
Generated description
Lay Lake is a large reservoir on the Coosa River in central Alabama, popular for boating, fishing, and hydroelectric power generation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lay Lake Target entity description: Lay Lake is a large reservoir on the Coosa River in central Alabama, popular for boating, fishing, and hydroelectric power generation.
-
A.
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.
-
B.
Walker Lake
Walker Lake is a large natural desert lake in western Nevada known for its shrinking water levels and importance as a habitat for migratory birds and native fish.
-
C.
Weiss Lake
Weiss Lake is a large reservoir in northeastern Alabama known for its extensive shoreline and popular crappie fishing.
-
D.
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.
-
E.
Ancylus Lake
Ancylus Lake was a large freshwater body that occupied the Baltic Sea basin after the last Ice Age, before it evolved into the modern brackish Baltic Sea.
- 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_69ad013923908190b20e11e14df7fa14 |
completed | March 8, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69ad023e877c81909e4f8712db9610f4 |
completed | March 8, 2026, 4:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad02898c388190a76924e90c8d9a11 |
completed | March 8, 2026, 5 a.m. |
Created at: March 1, 2026, 7:38 p.m.