Triple
T13031883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Néel wall |
E326460
|
entity |
| Predicate | hasEnergyContributionsFrom |
P58869
|
FINISHED |
| Object | exchange interaction |
—
|
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: exchange interaction | Statement: [Néel wall, hasEnergyContributionsFrom, exchange interaction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnergyContributionsFrom Context triple: [Néel wall, hasEnergyContributionsFrom, exchange interaction]
-
A.
hasContributionFrom
Indicates that something (such as a work, project, or outcome) is created, influenced, or supported in part by a specified contributor.
-
B.
energyContribution
chosen
Indicates the amount or role of energy that one entity provides or contributes to another entity, process, or system.
-
C.
hasEnergyRole
Indicates that one entity plays a specific functional role in the production, distribution, management, or use of energy in relation to another entity.
-
D.
hasContributingCountry
Indicates that a country has contributed resources, support, or participation to the subject entity or activity.
-
E.
showsContributionTo
Indicates that one entity demonstrates, reveals, or provides evidence of another entity’s contribution to something.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efe72348190b52fb4068f5fb829 |
completed | April 10, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:54 p.m.