Triple
T7913177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flushing Main Street station |
E183748
|
entity |
| Predicate | isGrade |
P44491
|
FINISHED |
| Object | elevated |
—
|
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: elevated | Statement: [Flushing Main Street station, isGrade, elevated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGrade Context triple: [Flushing Main Street station, isGrade, elevated]
-
A.
isGradeWithin
Indicates that a given grade value falls within a specified acceptable or defined grade range.
-
B.
isAtGrade
chosen
Indicates that an entity is positioned at or corresponds to a specific grade or level within an ordered scale or classification.
-
C.
isGradeOf
Indicates that one entity is the grade or evaluation assigned to another entity, such as a student, assignment, or performance.
-
D.
isReferenceGradeFor
Indicates that one entity serves as the standard or benchmark quality level against which another entity is evaluated or compared.
-
E.
grades
Indicates that one entity evaluates and assigns a score or level of performance to another entity.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a748f4c8190bcd868de2fcf0b3a |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:04 p.m.