Triple
T9226660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan Avenue |
E221699
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Ypsilanti |
E58392
|
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: Ypsilanti | Statement: [Michigan Avenue, passesThrough, Ypsilanti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ypsilanti Context triple: [Michigan Avenue, passesThrough, Ypsilanti]
-
A.
Ypsilanti
chosen
Ypsilanti is a city in southeastern Michigan known for Eastern Michigan University and its historic downtown and automotive heritage.
-
B.
Livonia
Livonia is a town in Livingston County, New York, known for its location near Conesus Lake in the Finger Lakes region.
-
C.
Livonia
Livonia was a historical region on the eastern coast of the Baltic Sea, encompassing parts of present-day Latvia and Estonia and long contested by regional powers.
-
D.
Rochester Hills
Rochester Hills is a suburban city in Oakland County, Michigan, known for its affluent residential communities, parks, and proximity to the Detroit metropolitan area.
-
E.
Lapeer
Lapeer is a small city in Michigan known as an administrative and commercial center for the surrounding rural region.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda9ecef48190b8aa0e316d07cec7 |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89eedc66c81909076cc7ba35f9da5 |
completed | April 10, 2026, 6:55 a.m. |
Created at: March 30, 2026, 7:28 p.m.