Triple
T36108974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ERS (MGU-K and MGU-H) |
E1044437
|
entity |
| Predicate | energyStoreType |
P4607
|
FINISHED |
| Object | lithium-ion battery |
—
|
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: lithium-ion battery | Statement: [ERS (MGU-K and MGU-H), energyStoreType, lithium-ion battery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyStoreType Context triple: [ERS (MGU-K and MGU-H), energyStoreType, lithium-ion battery]
-
A.
storesEnergyAs
chosen
Indicates that one entity retains or accumulates energy in the form or medium specified by another entity.
-
B.
energyBaseType
Indicates the fundamental category or source type of energy associated with an entity or process.
-
C.
energyStorageSystemFor
Indicates a relationship where one entity serves as an energy storage system specifically intended for another entity.
-
D.
energyBase
Indicates that one entity serves as the fundamental source or basis of energy for another entity or process.
-
E.
energyType
Indicates the kind or category of energy associated with an entity or process.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:08 p.m.