Triple
T36108989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ERS (MGU-K and MGU-H) |
E1044437
|
entity |
| Predicate | energyFlow |
P162145
|
FINISHED |
| Object | MGU-K to energy store |
—
|
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: MGU-K to energy store | Statement: [ERS (MGU-K and MGU-H), energyFlow, MGU-K to energy store]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyFlow Context triple: [ERS (MGU-K and MGU-H), energyFlow, MGU-K to energy store]
-
A.
energyTransportProcess
chosen
Indicates a process in which energy is transferred or moved from one location, system, or entity to another.
-
B.
energyBase
Indicates that one entity serves as the fundamental source or basis of energy for another entity or process.
-
C.
energyContribution
Indicates the amount or role of energy that one entity provides or contributes to another entity, process, or system.
-
D.
energyExchangeAbility
Indicates the capacity of one entity to transfer, share, or convert energy with another entity within a given context.
-
E.
energyTransferMethod
Indicates the process or mechanism by which energy is transferred from one entity or system to another.
- 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_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:08 p.m.