Triple
T13040546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New England Central Railroad |
E327178
|
entity |
| Predicate | lengthOfLine |
P77732
|
FINISHED |
| Object | approximately 384 miles |
—
|
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: approximately 384 miles | Statement: [New England Central Railroad, lengthOfLine, approximately 384 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthOfLine Context triple: [New England Central Railroad, lengthOfLine, approximately 384 miles]
-
A.
hasLineLength
Indicates that one entity has, is characterized by, or is associated with a specific line length value.
-
B.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
C.
hasNumberOfLines
Indicates the relationship that specifies how many lines are associated with a given entity.
-
D.
lengthInWords
Indicates the number of words that make up the length of something, typically a text or expression.
-
E.
railwayLineLength
chosen
Indicates the total measured length of a railway line.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:56 p.m.