Triple
T688611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calumet and South Chicago Railway Company |
E13340
|
entity |
| Predicate | transportCategory |
P1379
|
FINISHED |
| Object | electric street railway |
—
|
LITERAL 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: electric street railway | Statement: [Calumet and South Chicago Railway Company, transportCategory, electric street railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportCategory Context triple: [Calumet and South Chicago Railway Company, transportCategory, electric street railway]
-
A.
transportType
chosen
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
B.
busCategory
Indicates the classification or type of a bus within a defined categorization system.
-
C.
transportationFunction
Indicates that one entity serves to move or carry another entity from one place to another.
-
D.
transports
Indicates that one entity carries or conveys another entity from one place to another.
-
E.
transportation
Indicates the movement of someone or something from one place to another, typically using a vehicle or transit system.
- F. None of above.
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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0f55f7481909e052a25bd12d455 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d2048d48190ab99ab59accb6909 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.