Triple
T10302711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bay station |
E241671
|
entity |
| Predicate | LowerBayUsage |
P92998
|
FINISHED |
| Object | closed to regular passenger service |
—
|
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: closed to regular passenger service | Statement: [Bay station, LowerBayUsage, closed to regular passenger service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LowerBayUsage Context triple: [Bay station, LowerBayUsage, closed to regular passenger service]
-
A.
lowerLocation
Indicates that one entity is located physically below or at a lower vertical position relative to another entity.
-
B.
lowerCourseEnvironment
Indicates that one course is conducted in a less advanced or less demanding learning environment compared to another course.
-
C.
lowerLevelUsedFor
Indicates that a lower-level component, resource, or abstraction is utilized to implement, support, or realize the functionality of a higher-level one.
-
D.
lowerBandWidth
Indicates that one entity has a smaller or more limited bandwidth capacity than another.
-
E.
operatesBelow
Indicates that one entity functions, acts, or is positioned at a lower level, layer, or hierarchy relative to another entity.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30846108190875042ab1c0204e0 |
completed | April 7, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f35e548190be3b4d92d65d2d20 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d29d7cf08190acd70cee634c5cdb |
completed | April 7, 2026, 9:47 a.m. |
Created at: April 6, 2026, 11:45 a.m.