Triple
T6863054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jolimont railway station |
E158328
|
entity |
| Predicate | staffingStatus |
P63143
|
FINISHED |
| Object | unstaffed |
—
|
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: unstaffed | Statement: [Jolimont railway station, staffingStatus, unstaffed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: staffingStatus Context triple: [Jolimont railway station, staffingStatus, unstaffed]
-
A.
staffingLevel
chosen
Indicates the degree or adequacy of personnel assigned to perform a particular function, task, or operation.
-
B.
departmentStatus
Indicates the current operational or organizational state assigned to a department.
-
C.
designationStatus
Indicates the current official classification or standing assigned to an entity within a defined system or process.
-
D.
agencyStatus
Indicates the current operational or legal condition under which an agency or agent is functioning (e.g., active, inactive, suspended, or terminated).
-
E.
availabilityStatus
Indicates the current state of whether something is obtainable, usable, or accessible at a given time.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:21 p.m.