Triple
T16031518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mobile and Ohio Railroad |
E388856
|
entity |
| Predicate | endPoint |
P390
|
FINISHED |
| Object | Cairo, Illinois |
—
|
NE NERFINISHED |
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: Cairo, Illinois | Statement: [Mobile and Ohio Railroad, endPoint, Cairo, Illinois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cairo, Illinois Context triple: [Mobile and Ohio Railroad, endPoint, Cairo, Illinois]
-
A.
Cairo, Illinois
chosen
Cairo, Illinois is a historic river town at the confluence of the Mississippi and Ohio Rivers that played a significant role in regional trade, transportation, and Civil War history.
-
B.
Columbus, Illinois
Columbus, Illinois is a small village located in Adams County in western Illinois, United States.
-
C.
Cincinnati, Illinois
Cincinnati, Illinois is a small unincorporated community located in Pike County in western Illinois.
-
D.
Pekin, Illinois
Pekin, Illinois is a small city in central Illinois along the Illinois River, historically known for its manufacturing base and as the hometown of longtime U.S. Senator Everett Dirksen.
-
E.
Cleveland, Illinois
Cleveland, Illinois is a small village located in Henry County in the northwestern part of the state.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183384d848190988be7e68770f6ba |
completed | April 17, 2026, 12:47 a.m. |
Created at: April 10, 2026, 4:56 a.m.