Triple
T5976157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passarinho |
E132997
|
entity |
| Predicate | electricityGridFrequency |
P15377
|
FINISHED |
| Object | 60 Hz |
—
|
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: 60 Hz | Statement: [Passarinho, electricityGridFrequency, 60 Hz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electricityGridFrequency Context triple: [Passarinho, electricityGridFrequency, 60 Hz]
-
A.
usesElectricFrequency
chosen
Indicates that one entity operates or functions by relying on a specified electric frequency provided by another entity or context.
-
B.
typeOfElectricity
Indicates that one entity specifies the particular kind or category of electricity associated with another entity.
-
C.
electricalPower
Indicates that one entity supplies, carries, or is associated with electrical power to or for another entity.
-
D.
frequency
Indicates how often an event, action, or relationship occurs within a given period or context.
-
E.
electrificationCoverage
Indicates the extent to which a given area, system, or population is supplied with access to electrical power.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049dcb3c081908ccc9b4d4b210229 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.