Triple
T30145498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAN Lion’s City Hybrid |
E766241
|
entity |
| Predicate | targetOperator |
P21524
|
FINISHED |
| Object | municipal transport operators |
—
|
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: municipal transport operators | Statement: [MAN Lion’s City Hybrid, targetOperator, municipal transport operators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetOperator Context triple: [MAN Lion’s City Hybrid, targetOperator, municipal transport operators]
-
A.
coreOperator
Indicates that an entity functions as a primary or central operator responsible for executing or managing a core operation within a system or process.
-
B.
otherOperator
Indicates a relationship where one operator is distinguished from, or serves as an alternative to, another operator within the same context or system.
-
C.
typicalOperator
Indicates that an entity commonly or normally performs operations on, or acts upon, another entity in a standard or expected manner.
-
D.
designedOperator
Indicates that an entity (typically a person or organization) intentionally created or planned the specified operator (such as a function, mechanism, or process) for a particular purpose.
-
E.
typicalOperatorType
chosen
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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: April 29, 2026, 7:18 p.m.