Triple
T16332477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Ahquabi State Park |
E396587
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Lake Ahquabi |
E1207898
|
NE FINISHED |
How this triple was built (2 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 Ahquabi | Statement: [Lake Ahquabi State Park, namedAfter, Lake Ahquabi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Ahquabi Context triple: [Lake Ahquabi State Park, namedAfter, Lake Ahquabi]
-
A.
Lake Ahquabi
chosen
Lake Ahquabi is a man-made recreational lake in central Iowa known for fishing, boating, and swimming within the surrounding state park.
-
B.
Lake Habeeb
Lake Habeeb is a scenic man-made lake in western Maryland known for its clear waters and recreational activities such as fishing, boating, and swimming.
-
C.
Lake Palestine
Lake Palestine is a large reservoir in East Texas popular for fishing, boating, and lakeside recreation.
-
D.
Lake Artemesia
Lake Artemesia is a man-made freshwater lake in Prince George's County, Maryland, known for its surrounding parkland, fishing, and recreational trails.
-
E.
Lake Sai
Lake Sai is one of the Fuji Five Lakes in Yamanashi Prefecture, Japan, known for its scenic views of Mount Fuji and tranquil natural surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e0b1388190824b286e8452fb32 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c4ca7ac819098cae8aabfe7e395 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:07 a.m.