Triple
T10130982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Peninsula of Michigan |
E226336
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | East Lansing |
E52734
|
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: East Lansing | Statement: [Lower Peninsula of Michigan, contains, East Lansing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: East Lansing Context triple: [Lower Peninsula of Michigan, contains, East Lansing]
-
A.
East Lansing
chosen
East Lansing is a city in central Michigan best known as the home of Michigan State University.
-
B.
Ann Arbor
Ann Arbor is a vibrant college town in southeastern Michigan best known as the home of the University of Michigan and a center for education, research, and arts.
-
C.
Lansing, Michigan
Lansing, Michigan is the capital city of the U.S. state of Michigan and a historic center of automobile manufacturing and industry.
-
D.
Lansing
Lansing is a surname of English origin borne by various notable individuals, including American statesman Robert Lansing.
-
E.
Lansing
Lansing is a small village located within Tompkins County in central New York State, near the city of Ithaca.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33557a88190b5fb1938646d8532 |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317552b6081909a2e82e554a8f96e |
completed | April 6, 2026, 2:15 a.m. |
Created at: March 30, 2026, 9:06 p.m.