Triple
T37435296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 6 (Paris Métro) |
E930245
|
entity |
| Predicate | usesAutomationLevel |
P9537
|
FINISHED |
| Object | manual driving (as of early 2020s) |
—
|
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: manual driving (as of early 2020s) | Statement: [Line 6 (Paris Métro), usesAutomationLevel, manual driving (as of early 2020s)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAutomationLevel Context triple: [Line 6 (Paris Métro), usesAutomationLevel, manual driving (as of early 2020s)]
-
A.
automationLevel
chosen
Indicates the degree to which a process, task, or system is performed automatically rather than manually.
-
B.
canAutomate
Indicates that one entity has the capability to perform, control, or execute another entity’s process or task automatically without continuous human intervention.
-
C.
automatedIn
Indicates that an action, process, or operation is performed automatically within or by a specified system, context, or environment.
-
D.
automatedBy
Indicates that an action, process, or function is carried out or controlled by an automated system or mechanism.
-
E.
automationType
Indicates the specific kind or category of automation applied or associated with an entity or process.
- 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_69f76ebfdcb8819098562ff3db673b04 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.