Triple
T800019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope College |
E17108
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Holland, Michigan |
E945
|
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: Holland, Michigan | Statement: [Hope College, locatedIn, Holland, Michigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holland, Michigan Context triple: [Hope College, locatedIn, Holland, Michigan]
-
A.
Holland, Michigan
chosen
Holland, Michigan is a city on the shores of Lake Michigan known for its strong Dutch heritage, annual Tulip Time Festival, and traditional Dutch architecture and culture.
-
B.
Westland, Michigan
Westland, Michigan is a suburban city in Wayne County within the Detroit metropolitan area, known primarily as a residential and retail community.
-
C.
Muskegon, Michigan
Muskegon, Michigan is a port city in western Michigan known for its Lake Michigan shoreline, maritime heritage, and recreational beaches.
-
D.
Grand Haven, Michigan
Grand Haven, Michigan is a Lake Michigan shoreline city known for its sandy beaches, historic lighthouse, and popular summer tourism along the eastern shore of the lake.
-
E.
Warren, Michigan
Warren, Michigan is a large suburban city in Macomb County and a major industrial and automotive manufacturing center in the Detroit metropolitan area.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7cb26dc8190bdd3a278b8695873 |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acddfa1d48819081538d6505fa062c |
completed | March 8, 2026, 2:24 a.m. |
Created at: March 1, 2026, 7:38 p.m.