Triple
T15624499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renata |
E375644
|
entity |
| Predicate | powerActivation |
P109257
|
FINISHED |
| Object | proximity to target |
—
|
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: proximity to target | Statement: [Renata, powerActivation, proximity to target]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerActivation Context triple: [Renata, powerActivation, proximity to target]
-
A.
enablingPowerFor
Indicates that one entity provides the capability or authority that allows another entity to perform a specific function, action, or role.
-
B.
powerInterface
Indicates that one entity serves as a power-providing interface or connection point for another entity, enabling the transfer or supply of electrical power.
-
C.
powering
chosen
Indicates that one entity supplies energy or power that enables another entity to operate or function.
-
D.
powersFeature
Indicates that one entity provides the underlying functionality or capability that enables a particular feature of another entity.
-
E.
usesPowerFor
Indicates that one entity applies or exploits a particular power, energy, or capability for a specific purpose or activity.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9cfd94819091459aa17a002eaf |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.