Triple
T8495565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Rice Genebank |
E201089
|
entity |
| Predicate | typeOfStorage |
P8611
|
FINISHED |
| Object | seed storage |
—
|
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: seed storage | Statement: [International Rice Genebank, typeOfStorage, seed storage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfStorage Context triple: [International Rice Genebank, typeOfStorage, seed storage]
-
A.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
B.
storageOption
chosen
Indicates how or where something is stored, specifying the chosen method, medium, or configuration for its storage.
-
C.
storageCapacity
Indicates the maximum amount of data or material that a storage entity can hold.
-
D.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
-
E.
notableStoreType
Indicates that a store is particularly recognized or distinguished for being of a specified type (e.g., a notable example of that kind of store).
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe57dbe488190af5f06faf862cd5d |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:13 p.m.