Triple
T17773254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NK-33 |
E443694
|
entity |
| Predicate | storageHistory |
P128876
|
FINISHED |
| Object | long-term storage after N1 cancellation |
—
|
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: long-term storage after N1 cancellation | Statement: [NK-33, storageHistory, long-term storage after N1 cancellation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storageHistory Context triple: [NK-33, storageHistory, long-term storage after N1 cancellation]
-
A.
storesHistory
Indicates that an entity retains or records past states, events, or changes over time related to another entity or process.
-
B.
estimatedHistory
Indicates that there is an inferred or approximated record of past states, events, or values associated with an entity or relationship.
-
C.
operatorHistory
Indicates a record of past actions, states, or changes associated with a particular operator over time.
-
D.
collectionHistory
Indicates the record of when, how, and from whom an item or set of items was acquired, transferred, or otherwise added to a collection over time.
-
E.
ownershipHistory
Indicates the sequence of past and present owners associated with an entity over time.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871a2130819081743ae89dddc64b |
completed | April 19, 2026, 7:41 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:12 a.m.