Triple
T4683638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Round Lake, Illinois |
E103863
|
entity |
| Predicate | namedFor |
P63
|
FINISHED |
| Object |
Round Lake
Round Lake is a small, roughly circular lake in Illinois that lends its name to the surrounding village of Round Lake.
|
E833213
|
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: Round Lake | Statement: [Round Lake, Illinois, namedFor, Round Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Round Lake Context triple: [Round Lake, Illinois, namedFor, Round Lake]
-
A.
Round Lake
Round Lake is a small village and lake in Saratoga County, New York, known for its historic character and recreational waterfront.
-
B.
North Lake
North Lake is a scenic alpine lake in California’s Eastern Sierra Nevada, popular for fishing, hiking, and as a gateway to high-country trails near Bishop.
-
C.
Bay Lake
Bay Lake is a natural lake in Central Florida located near the Walt Disney World Resort.
-
D.
West Cronese Lake
West Cronese Lake is a dry lakebed in the Mojave Desert of California, known for its arid playa landscape and proximity to the Cronese Mountains.
-
E.
Greenwood Lake
Greenwood Lake is a scenic glacial lake straddling the border of New York and New Jersey, popular for boating, fishing, and lakeside recreation.
- 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: Round Lake Triple: [Round Lake, Illinois, namedFor, Round Lake]
Generated description
Round Lake is a small, roughly circular lake in Illinois that lends its name to the surrounding village of Round Lake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Round Lake Target entity description: Round Lake is a small, roughly circular lake in Illinois that lends its name to the surrounding village of Round Lake.
-
A.
Round Lake
Round Lake is a small village and lake in Saratoga County, New York, known for its historic character and recreational waterfront.
-
B.
North Lake
North Lake is a scenic alpine lake in California’s Eastern Sierra Nevada, popular for fishing, hiking, and as a gateway to high-country trails near Bishop.
-
C.
Bay Lake
Bay Lake is a natural lake in Central Florida located near the Walt Disney World Resort.
-
D.
West Cronese Lake
West Cronese Lake is a dry lakebed in the Mojave Desert of California, known for its arid playa landscape and proximity to the Cronese Mountains.
-
E.
Greenwood Lake
Greenwood Lake is a scenic glacial lake straddling the border of New York and New Jersey, popular for boating, fishing, and lakeside recreation.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd638130a08190876c5829c0488758 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2571ac8ec8190bf59c2cec5e2e6e2 |
completed | April 5, 2026, 12:35 p.m. |
| NEDg | Description generation | batch_69d25889b0f08190a28c5401417fe3cc |
completed | April 5, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25977ab988190969ed8ff8eb53ddd |
completed | April 5, 2026, 12:45 p.m. |
Created at: March 20, 2026, 1:16 p.m.