Triple
T13160592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minneapolis park system |
E312714
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lake Hiawatha |
E1117016
|
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 Hiawatha | Statement: [Minneapolis park system, hasPart, Lake Hiawatha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Hiawatha Context triple: [Minneapolis park system, hasPart, Lake Hiawatha]
-
A.
Lake Hiawatha
chosen
Lake Hiawatha is a small urban lake in Minneapolis, Minnesota, known for its surrounding park, recreation areas, and connection to the city’s Chain of Lakes.
-
B.
Portage Lake
Portage Lake is a small town in Aroostook County, Maine, known for its scenic lake, outdoor recreation, and rural, close-knit community.
-
C.
Portage Lake
Portage Lake is a glacial lake in south-central Alaska formed by meltwater from Portage Glacier and known for its scenic views and boat tours.
-
D.
Portage Lake
Portage Lake is a body of water in Michigan’s Upper Peninsula that separates the cities of Houghton and Hancock and connects to the Keweenaw Waterway.
-
E.
Orankesee
Orankesee is a small recreational lake in Berlin known for its bathing beach, boating, and surrounding parkland.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0971008190869e9de710f4c579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ccb9c3481908820f7620102e373 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 9, 2026, 9:12 p.m.