Triple
T18445091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everytown |
E450632
|
entity |
| Predicate | energySourceDepiction |
P131642
|
FINISHED |
| Object | advanced industrial power systems |
—
|
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: advanced industrial power systems | Statement: [Everytown, energySourceDepiction, advanced industrial power systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energySourceDepiction Context triple: [Everytown, energySourceDepiction, advanced industrial power systems]
-
A.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
B.
usesEnergyFrom
Indicates that one entity derives or consumes energy originating from another entity as its source.
-
C.
sourceOfPower
Indicates that one entity serves as the origin or provider of power, energy, or authority for another entity.
-
D.
energyHub
Indicates a central entity that collects, manages, and distributes energy or power among connected entities or systems.
-
E.
powerPlantFuel
Indicates that a power plant uses a particular fuel type as its energy source.
- F. None of above. chosen
Provenance (4 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c15127881909d23b6dd45d7ccc9 |
completed | April 19, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:30 a.m.