Triple
T13739757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delaware County, Iowa |
E330051
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Lake Delhi
Lake Delhi is a popular recreational reservoir in northeastern Iowa known for boating, fishing, and lakeside homes.
|
E1060227
|
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 Delhi | Statement: [Delaware County, Iowa, hasLake, Lake Delhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Delhi Context triple: [Delaware County, Iowa, hasLake, Lake Delhi]
-
A.
Lake Audy
Lake Audy is a scenic lake in Manitoba, Canada, known for its wildlife viewing, camping, and recreational opportunities within Riding Mountain National Park.
-
B.
Lake Newport
Lake Newport is a man-made residential and recreational lake located in the planned community of Reston, Virginia.
-
C.
Lake Oval
Lake Oval is a historic Australian rules football ground in Melbourne that once served as the long-time home venue of the South Melbourne Football Club, now known as the Sydney Swans.
-
D.
Lake Waukewan
Lake Waukewan is a scenic freshwater lake in central New Hampshire known for recreation such as boating, fishing, and swimming.
-
E.
Lake Skenonto
Lake Skenonto is a scenic backcountry lake in New York’s Harriman State Park, popular with hikers and campers for its remote, forested setting.
- 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 Delhi Triple: [Delaware County, Iowa, hasLake, Lake Delhi]
Generated description
Lake Delhi is a popular recreational reservoir in northeastern Iowa known for boating, fishing, and lakeside homes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Delhi Target entity description: Lake Delhi is a popular recreational reservoir in northeastern Iowa known for boating, fishing, and lakeside homes.
-
A.
Lake Audy
Lake Audy is a scenic lake in Manitoba, Canada, known for its wildlife viewing, camping, and recreational opportunities within Riding Mountain National Park.
-
B.
Lake Newport
Lake Newport is a man-made residential and recreational lake located in the planned community of Reston, Virginia.
-
C.
Lake Oval
Lake Oval is a historic Australian rules football ground in Melbourne that once served as the long-time home venue of the South Melbourne Football Club, now known as the Sydney Swans.
-
D.
Lake Waukewan
Lake Waukewan is a scenic freshwater lake in central New Hampshire known for recreation such as boating, fishing, and swimming.
-
E.
Lake Skenonto
Lake Skenonto is a scenic backcountry lake in New York’s Harriman State Park, popular with hikers and campers for its remote, forested setting.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0206a4b88190a60914e2b43e54f9 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a84dbdc48190a4724bb9c3523b25 |
completed | May 3, 2026, 7:55 p.m. |
| NEDg | Description generation | batch_69f7a91deb3c8190ad2be7f1ca99ac9b |
completed | May 3, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ad51c6808190afa80fc3622399bf |
completed | May 3, 2026, 8:17 p.m. |
Created at: April 9, 2026, 9:55 p.m.