Triple
T4019159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buna-Werke |
E91236
|
entity |
| Predicate | plannedCapacity |
P17734
|
FINISHED |
| Object | large-scale synthetic rubber production |
—
|
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: large-scale synthetic rubber production | Statement: [Buna-Werke, plannedCapacity, large-scale synthetic rubber production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedCapacity Context triple: [Buna-Werke, plannedCapacity, large-scale synthetic rubber production]
-
A.
plannedCapability
chosen
Indicates that an entity is intended or scheduled to possess or provide a particular capability in the future.
-
B.
numberPlanned
Indicates that a specific quantity has been scheduled or intended for a future action or allocation.
-
C.
installedCapacity
Indicates the maximum output or production capability that has been set up or built for a system, facility, or equipment, typically measured under specified conditions.
-
D.
plannedFacility
Indicates that a facility is intended or scheduled to be built, established, or implemented in the future but does not yet exist or operate.
-
E.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaab39d4819080e37cd175c89542 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:35 p.m.