Triple
T8117095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Family Lines System |
E189501
|
entity |
| Predicate | railroadFamily |
P76977
|
FINISHED |
| Object | predecessor of CSX Transportation |
—
|
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: predecessor of CSX Transportation | Statement: [Family Lines System, railroadFamily, predecessor of CSX Transportation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railroadFamily Context triple: [Family Lines System, railroadFamily, predecessor of CSX Transportation]
-
A.
trainFamily
Indicates that one entity trains, educates, or prepares another entity within a family or familial context.
-
B.
relatedRailroad
chosen
Indicates that there is an association or connection between an entity and a specific railroad, such as ownership, operation, service, or historical linkage.
-
C.
formerRailroad
Indicates that an entity was previously a railroad but no longer functions as one.
-
D.
railroad
Indicates that one entity constructs, operates, or provides railroad or train transportation services for another entity or area.
-
E.
rollingStockFamily
Indicates a relationship where a piece of rolling stock belongs to, or is classified under, a particular family or series of related rolling stock designs.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
Created at: March 30, 2026, 5:33 p.m.