Triple
T2328970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saginaw |
E48356
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Midland, Michigan |
E57541
|
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: Midland, Michigan | Statement: [Saginaw, locatedNear, Midland, Michigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midland, Michigan Context triple: [Saginaw, locatedNear, Midland, Michigan]
-
A.
Midland, Michigan
chosen
Midland, Michigan is a small city in central Michigan known as a hub for the chemical industry and the longtime headquarters of Dow Chemical Company.
-
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.
Wyandotte, Michigan
Wyandotte, Michigan is a small industrial city and Downriver suburb of Detroit located along the western shore of the Detroit River.
-
D.
Rockford, Michigan
Rockford, Michigan is a small city in western Michigan known for its historic downtown, scenic Rogue River setting, and strong community atmosphere.
-
E.
Southgate, Michigan
Southgate, Michigan is a suburban city in the Downriver area of Metro Detroit known for its residential neighborhoods and commercial corridors.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc665c6548190af90d70475b4519b |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacb883188190a213986b2816cde2 |
completed | March 20, 2026, 8:23 p.m. |
Created at: March 4, 2026, 7:50 p.m.