Triple
T31436173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratcliffe-on-Soar Power Station |
E801936
|
entity |
| Predicate | hasElectrostaticPrecipitators |
P88639
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Ratcliffe-on-Soar Power Station, hasElectrostaticPrecipitators, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectrostaticPrecipitators Context triple: [Ratcliffe-on-Soar Power Station, hasElectrostaticPrecipitators, yes]
-
A.
hasVacuumSystem
Indicates that one entity is equipped with, or includes as a component, a vacuum system.
-
B.
hasDesiltingChambers
Indicates that an entity is equipped with or includes desilting chambers used to remove silt or sediment from a flow.
-
C.
airPurifying
chosen
Indicates that an entity removes or reduces pollutants or contaminants from the air in its surroundings.
-
D.
hasElectricCharge
Indicates that an entity possesses a nonzero electric charge as a physical property.
-
E.
haveElectricChargePattern
Indicates that an entity possesses a specific configuration or distribution of electric charge.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 30, 2026, 9:01 p.m.