Triple
T18060067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heimatstil |
E432146
|
entity |
| Predicate | isAReactionTo |
P129662
|
FINISHED |
| Object | industrialization |
—
|
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: industrialization | Statement: [Heimatstil, isAReactionTo, industrialization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAReactionTo Context triple: [Heimatstil, isAReactionTo, industrialization]
-
A.
relatedReaction
Indicates that one reaction is connected or associated with another reaction in some relevant way.
-
B.
causedReaction
Indicates that one entity’s action or state brought about a specific reaction or response in another entity.
-
C.
receivedReaction
Indicates that an entity has been the target of a reaction or response from another entity.
-
D.
startsWithReaction
Indicates that one entity begins with, or is initiated by, a specified reaction or responsive event.
-
E.
reactionType
Indicates the specific kind or category of reaction that occurs between entities or in response to an event or stimulus.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c10583648190a161c58abf4853d5 |
completed | April 19, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:26 a.m.