Triple
T20044453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oval Beach |
E497519
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Saugatuck, Michigan |
E108176
|
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: Saugatuck, Michigan | Statement: [Oval Beach, locatedIn, Saugatuck, Michigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saugatuck, Michigan Context triple: [Oval Beach, locatedIn, Saugatuck, Michigan]
-
A.
Saugatuck, Michigan area
The Saugatuck, Michigan area is a popular Lake Michigan lakeshore destination known for its scenic dunes, beaches, art galleries, and charming small-town atmosphere.
-
B.
South Haven, Michigan
South Haven, Michigan is a Lake Michigan resort town known for its sandy beaches, maritime history, and popular summer tourism in West Michigan.
-
C.
Saugatuck
chosen
Saugatuck is a small lakeside city in western Michigan known for its art galleries, beaches, and tourist-friendly waterfront.
-
D.
Muskegon, Michigan
Muskegon, Michigan is a port city in western Michigan known for its Lake Michigan shoreline, maritime heritage, and recreational beaches.
-
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 (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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662eea09481908d1001165e9d719c |
completed | April 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aae5351f88190943ef5a51c5fc6cb |
completed | May 18, 2026, 6:14 a.m. |
Created at: April 11, 2026, 3:37 p.m.