Triple
T33106792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiautschou Bay |
E847209
|
entity |
| Predicate | controlChange |
P196708
|
FINISHED |
| Object | German occupation began 1897 |
—
|
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: German occupation began 1897 | Statement: [Kiautschou Bay, controlChange, German occupation began 1897]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlChange Context triple: [Kiautschou Bay, controlChange, German occupation began 1897]
-
A.
controlSurfaces
Indicates that one entity functions as a control surface or set of control surfaces used to influence, steer, or regulate the behavior or state of another entity.
-
B.
controlParameter
Indicates that one entity functions as a parameter that governs, tunes, or constrains the behavior or operation of another entity.
-
C.
exportControl
Indicates that an entity is subject to rules or restrictions governing the transfer or export of goods, services, or information across borders.
-
D.
controlInteraction
Indicates an interaction in which one entity directs, regulates, or constrains the behavior or state of another.
-
E.
usesChordChangesOf
Indicates that one musical work employs the same or substantially similar chord progression as another work.
- F. None of above. chosen
Provenance (4 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
| PDg | Predicate description generation | batch_69fe629a8d4c8190b4aa4dee39efc0a6 |
completed | May 8, 2026, 10:24 p.m. |
Created at: May 1, 2026, 1:26 a.m.