Triple
T432779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arecibo message |
E9748
|
entity |
| Predicate | transmissionPower |
P10373
|
FINISHED |
| Object | about 1000 kW |
—
|
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: about 1000 kW | Statement: [Arecibo message, transmissionPower, about 1000 kW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transmissionPower Context triple: [Arecibo message, transmissionPower, about 1000 kW]
-
A.
transmissionType
Indicates the method or medium through which something is transmitted or conveyed from one entity to another.
-
B.
maximumPowerDeliveredToPD
Indicates the highest level of electrical power that can be supplied to the power-drawing device (PD) in this relationship.
-
C.
powerDirection
Indicates the direction in which power, influence, or control flows from one entity to another.
-
D.
transmission
Indicates the transfer or conveyance of something (such as information, energy, or material) from one entity to another.
-
E.
designPowerOutput
chosen
Indicates the intended or specified power output level that something is designed to produce under defined conditions.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ef084840819080653004b674cba8 |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2edd9264c8190b92f9a50348e5541 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.