Triple
T36872102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mannheim rocket |
E911249
|
entity |
| Predicate | typicalDynamicContext |
P154451
|
FINISHED |
| Object | crescendo |
—
|
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: crescendo | Statement: [Mannheim rocket, typicalDynamicContext, crescendo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDynamicContext Context triple: [Mannheim rocket, typicalDynamicContext, crescendo]
-
A.
dynamicalContext
Indicates the situational or environmental conditions, parameters, or state under which a process, system, or interaction dynamically unfolds or evolves.
-
B.
typicalDynamics
Indicates the usual or characteristic way in which a system, process, or interaction evolves or behaves over time.
-
C.
typicalDynamicLevel
chosen
Indicates the usual or characteristic intensity or volume level at which an action, event, or interaction typically occurs.
-
D.
typicalAppearanceContext
Indicates the usual situation, setting, or context in which an entity most commonly appears or is typically encountered.
-
E.
defaultContext
Indicates that an entity or interaction occurs within the standard or assumed situational, conversational, or environmental setting rather than a specialized or altered one.
- 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.