Triple
T34079294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norfolk Southern Pittsburgh Line |
E873988
|
entity |
| Predicate | hasGradeProfile |
P181099
|
FINISHED |
| Object | significant east–west mountain grades |
—
|
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: significant east–west mountain grades | Statement: [Norfolk Southern Pittsburgh Line, hasGradeProfile, significant east–west mountain grades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGradeProfile Context triple: [Norfolk Southern Pittsburgh Line, hasGradeProfile, significant east–west mountain grades]
-
A.
hasGradeStatus
Indicates that an entity holds a particular grade-related status or standing within an evaluation or grading system.
-
B.
gradeProfile
Indicates the relationship between an entity and the distribution or pattern of its grades or performance scores.
-
C.
hasGradeType
Indicates that an entity is associated with a particular category or type of grade (e.g., letter grade, pass/fail, percentage).
-
D.
hasGradeSpan
Indicates the range of grade levels or educational stages that an entity (such as a school or program) covers or serves.
-
E.
hasGrades
Indicates that an entity possesses or is associated with one or more grade values, typically reflecting evaluations or scores.
- F. None of above. chosen
Provenance (4 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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
| PDg | Predicate description generation | batch_69f760a2a90c8190b8fbc55412ab752b |
completed | May 3, 2026, 2:50 p.m. |
Created at: May 1, 2026, 1:52 a.m.