Triple
T14790334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MGN |
E347636
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Harbor Springs |
—
|
NE NERFINISHED |
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: Harbor Springs | Statement: [MGN, servesCity, Harbor Springs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harbor Springs Context triple: [MGN, servesCity, Harbor Springs]
-
A.
Harbor Springs
chosen
Harbor Springs is a small resort town on the shores of Lake Michigan known for its scenic harbor, historic charm, and year-round outdoor recreation.
-
B.
Alpena
Alpena is a small city in northeastern Michigan known for its Lake Huron shoreline, maritime history, and access to outdoor recreation.
-
C.
Copper Harbor, Michigan
Copper Harbor, Michigan is a small, remote community at the northern tip of Michigan’s Keweenaw Peninsula, known as a gateway to outdoor recreation on Lake Superior and nearby wilderness areas.
-
D.
Fairport, Michigan
Fairport, Michigan is a small unincorporated lakeside community located at the southern tip of Michigan’s Garden Peninsula on Lake Michigan.
-
E.
Ludington, Michigan
Ludington, Michigan is a small Lake Michigan port city in western Michigan known for its beaches, state park, and outdoor recreation centered around its waterfront and nearby rivers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5d134c819080ee788b2e34163a |
completed | April 14, 2026, 11:27 p.m. |
Created at: April 10, 2026, 1:31 a.m.