Triple
T9315940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copiague station |
E224119
|
entity |
| Predicate | gradeSeparationProject |
P88047
|
FINISHED |
| Object | Babylon Branch elevation program |
—
|
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: Babylon Branch elevation program | Statement: [Copiague station, gradeSeparationProject, Babylon Branch elevation program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradeSeparationProject Context triple: [Copiague station, gradeSeparationProject, Babylon Branch elevation program]
-
A.
gradeWithin
Indicates that one value’s grade or level falls within a specified range or interval relative to another.
-
B.
rangeSeparates
Indicates that a range or interval lies between two entities in such a way that it separates or distinguishes them from each other.
-
C.
separatesPointsOn
Indicates that one entity divides or partitions a set or space such that distinct points lie on different sides or regions relative to it.
-
D.
separationProcess
Indicates a process in which components of a mixture or system are divided or isolated from one another based on differing properties or conditions.
-
E.
hasGradeSeparatedInterchanges
Indicates that the route or roadway includes interchanges where traffic flows are separated by different levels (e.g., overpasses/underpasses) rather than intersecting at the same grade.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358846e48190a8aacfab19d88ae7 |
completed | April 1, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:37 p.m.