Triple
T6457824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 23480 |
E142036
|
entity |
| Predicate | emitsMostEnergyIn |
P71103
|
FINISHED |
| Object | ultraviolet |
—
|
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: ultraviolet | Statement: [HD 23480, emitsMostEnergyIn, ultraviolet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emitsMostEnergyIn Context triple: [HD 23480, emitsMostEnergyIn, ultraviolet]
-
A.
emitsMoreEnergyThanItReceives
Indicates that the subject releases a greater amount of energy than it takes in from its surroundings or inputs.
-
B.
outputEnergy
Indicates that an entity produces or releases a certain amount or form of energy as a result of its operation or behavior.
-
C.
energyContribution
Indicates the amount or role of energy that one entity provides or contributes to another entity, process, or system.
-
D.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
E.
storesEnergyAs
Indicates that one entity retains or accumulates energy in the form or medium specified by another entity.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d758508190b9c7358ef84f8169 |
completed | March 22, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69c0673b44148190aed70084f0ff4992 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c068cb3b888190812ed56f2fdd45ed |
completed | March 22, 2026, 10:10 p.m. |
Created at: March 22, 2026, 4:48 p.m.