Triple
T32484189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evergreen Extension |
E830192
|
entity |
| Predicate | replacedProject |
P95000
|
FINISHED |
| Object | original Evergreen Line LRT proposal |
—
|
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: original Evergreen Line LRT proposal | Statement: [Evergreen Extension, replacedProject, original Evergreen Line LRT proposal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedProject Context triple: [Evergreen Extension, replacedProject, original Evergreen Line LRT proposal]
-
A.
replacementProject
chosen
Indicates that one entity is a project intended to replace or supersede another entity or project.
-
B.
replacedProcess
Indicates that one process has been substituted or superseded by another process.
-
C.
exportProject
Indicates initiating the transfer or packaging of a project’s data or configuration from one system, format, or environment to another.
-
D.
replacedModule
Indicates that one module has been substituted or superseded by another module in a system or configuration.
-
E.
relocationProject
Indicates a project or organized effort to move an entity from one location to another.
- 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_69f3491ff3b48190b50a7fa00bb05b1f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: May 1, 2026, 12:58 a.m.