Triple
T761232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kollen Park |
E16072
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | Lake Macatawa |
E19323
|
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 Macatawa | Statement: [Kollen Park, hasView, Lake Macatawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Macatawa Context triple: [Kollen Park, hasView, Lake Macatawa]
-
A.
Lake Macatawa
chosen
Lake Macatawa is a freshwater inland lake in western Michigan known for its recreational boating, fishing, and connection to Lake Michigan via a navigable channel.
-
B.
Stow Lake
Stow Lake is a man-made lake and popular recreational spot in San Francisco’s Golden Gate Park, known for its boating, walking paths, and scenic island.
-
C.
Cedar Lake
Cedar Lake is a popular recreational lake in Minneapolis, Minnesota, known for its beaches, trails, and natural surroundings within the city's Chain of Lakes.
-
D.
Lake Monona
Lake Monona is a prominent freshwater lake in Madison, Wisconsin, known for its recreational activities, scenic shoreline, and views of the city’s skyline and state capitol.
-
E.
Osceola Lake
Osceola Lake is a small hamlet within the Town of Yorktown in Westchester County, New York.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a682e7d081909c9cd7839a49fb0b |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c009d5048190b2a137b6ed8b60ec |
completed | March 4, 2026, 5:15 a.m. |
Created at: March 1, 2026, 7:37 p.m.