Triple
T20812958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S Shuttles |
E512358
|
entity |
| Predicate | typicalOperationContext |
P71956
|
FINISHED |
| Object | rail construction |
—
|
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: rail construction | Statement: [S Shuttles, typicalOperationContext, rail construction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOperationContext Context triple: [S Shuttles, typicalOperationContext, rail construction]
-
A.
operationContext
chosen
Indicates the situational or environmental conditions under which an operation is performed, including relevant parameters, constraints, and surrounding circumstances that influence that operation.
-
B.
operatorContext
Indicates the situational or environmental conditions under which an operator performs an action or maintains a relationship with another entity.
-
C.
hasTypicalUseContext
Indicates that something is commonly or characteristically used within a particular situation, setting, or context.
-
D.
typicalOperator
Indicates that an entity commonly or normally performs operations on, or acts upon, another entity in a standard or expected manner.
-
E.
typicalOperatorType
Indicates the usual or most common type or category of operator associated with a given entity or context.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d415688190b66adc44d4df9bbb |
completed | April 21, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:40 p.m.