Triple
T25938629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 10700 |
E653628
|
entity |
| Predicate | stellarActivityLevel |
P78595
|
FINISHED |
| Object | quiescent |
—
|
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: quiescent | Statement: [HD 10700, stellarActivityLevel, quiescent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stellarActivityLevel Context triple: [HD 10700, stellarActivityLevel, quiescent]
-
A.
humanActivityLevel
Indicates the degree or intensity of activity or movement performed by a human over a given period or in a given context.
-
B.
hostStarActivityLevel
chosen
Indicates the intensity or level of stellar activity exhibited by the host star in the relationship or context described.
-
C.
activationLevel
Indicates the degree or intensity to which something is currently active, engaged, or functioning within a given context.
-
D.
currentActivityLevel
Indicates the present intensity or degree of activity that an entity is engaged in at a given moment.
-
E.
activityFrequency
Indicates how often a particular activity occurs within a given time period.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6045b07b08190a58fd7e0acda574c |
completed | May 2, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:40 a.m.