Triple
T2896665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Whiting |
E63955
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Flint, Michigan |
E10580
|
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: Flint, Michigan | Statement: [The Whiting, city, Flint, Michigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flint, Michigan Context triple: [The Whiting, city, Flint, Michigan]
-
A.
Flint, Michigan
chosen
Flint, Michigan is an industrial city in the United States best known as the birthplace of General Motors and for its central role in the American automotive industry.
-
B.
Wyandotte, Michigan
Wyandotte, Michigan is a small industrial city and Downriver suburb of Detroit located along the western shore of the Detroit River.
-
C.
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.
-
D.
St. Joseph, Michigan
St. Joseph, Michigan is a small Lake Michigan shoreline city in southwestern Michigan known for its beaches, harbor, and historic downtown.
-
E.
Portland, Michigan
Portland, Michigan is a small city in Ionia County known for its historic downtown, multiple riverfront parks, and extensive network of pedestrian bridges and trails.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe08e7b248190a6bb0f6999f99c23 |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b354505574819083ae7d36e461366b |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 6, 2026, 10:08 p.m.