Triple
T9496298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Tohopekaliga |
E229012
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Lake Toho
Lake Toho is a large, renowned bass-fishing lake located in central Florida near Kissimmee.
|
E805175
|
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 Toho | Statement: [Lake Tohopekaliga, alsoKnownAs, Lake Toho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Toho Context triple: [Lake Tohopekaliga, alsoKnownAs, Lake Toho]
-
A.
Lake Shoji
Lake Shoji is one of the Fuji Five Lakes in Japan, known for its tranquil waters and scenic views of Mount Fuji.
-
B.
Lake Tōya
Lake Tōya is a nearly circular caldera lake in Hokkaido, Japan, renowned for its clear waters, scenic volcanic surroundings, and hot spring resorts.
-
C.
Lake Haruna
Lake Haruna is a scenic crater lake in Gunma Prefecture, Japan, known for its tranquil waters, surrounding volcanic landscapes, and popularity as a recreational and tourist destination.
-
D.
Lake Tanuki
Lake Tanuki is a scenic artificial lake in Fujinomiya, Shizuoka Prefecture, Japan, renowned for its views of Mount Fuji and popular for camping, fishing, and seasonal festivals.
-
E.
Onota Lake
Onota Lake is a scenic recreational lake in Pittsfield, Massachusetts, popular for boating, fishing, and lakeside activities in the Berkshires region.
- 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 Toho Triple: [Lake Tohopekaliga, alsoKnownAs, Lake Toho]
Generated description
Lake Toho is a large, renowned bass-fishing lake located in central Florida near Kissimmee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Toho Target entity description: Lake Toho is a large, renowned bass-fishing lake located in central Florida near Kissimmee.
-
A.
Lake Shoji
Lake Shoji is one of the Fuji Five Lakes in Japan, known for its tranquil waters and scenic views of Mount Fuji.
-
B.
Lake Tōya
Lake Tōya is a nearly circular caldera lake in Hokkaido, Japan, renowned for its clear waters, scenic volcanic surroundings, and hot spring resorts.
-
C.
Lake Haruna
Lake Haruna is a scenic crater lake in Gunma Prefecture, Japan, known for its tranquil waters, surrounding volcanic landscapes, and popularity as a recreational and tourist destination.
-
D.
Lake Tanuki
Lake Tanuki is a scenic artificial lake in Fujinomiya, Shizuoka Prefecture, Japan, renowned for its views of Mount Fuji and popular for camping, fishing, and seasonal festivals.
-
E.
Onota Lake
Onota Lake is a scenic recreational lake in Pittsfield, Massachusetts, popular for boating, fishing, and lakeside activities in the Berkshires region.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd95eb87b081908fc7255598cd9a24 |
completed | April 1, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c02de448190a2feea16d5461726 |
completed | April 4, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69d14cef4c248190a8dd7b01c9e25a9e |
completed | April 4, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14d5dad98819089c49afd3d097c1f |
completed | April 4, 2026, 5:41 p.m. |
Created at: March 30, 2026, 7:56 p.m.