Triple
T3110803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greektown, Chicago |
E64944
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Interstate 90/94 |
E22104
|
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: Interstate 90/94 | Statement: [Greektown, Chicago, near, Interstate 90/94]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Interstate 90/94 Context triple: [Greektown, Chicago, near, Interstate 90/94]
-
A.
Interstate 94
Interstate 94 is a major east–west U.S. Interstate Highway running from Montana to Michigan, serving key Midwestern cities such as Minneapolis–Saint Paul, Milwaukee, and Chicago.
-
B.
Interstate 90
chosen
Interstate 90 is the longest Interstate Highway in the United States, running east–west from Seattle, Washington, to Boston, Massachusetts.
-
C.
Interstate 96
Interstate 96 is a major east–west freeway in Michigan that connects the state capital Lansing with the Detroit metropolitan area and other key cities.
-
D.
Interstate 290
Interstate 290 is a highway in Massachusetts that serves as a key connector between Worcester and the surrounding regional interstate network.
-
E.
Interstate 290
Interstate 290 is a highway in western New York that serves as a key connector between Buffalo’s suburbs and major regional routes.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43954f0819096a96331bf3c53a8 |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503d3f19c819088061d3c68757957 |
completed | March 14, 2026, 6:44 a.m. |
Created at: March 8, 2026, 3:04 p.m.