Triple
T10980696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legacy Survey of Space and Time |
E259495
|
entity |
| Predicate | expectedAlertRate |
P96436
|
FINISHED |
| Object | millions of alerts per night |
—
|
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: millions of alerts per night | Statement: [Legacy Survey of Space and Time, expectedAlertRate, millions of alerts per night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expectedAlertRate Context triple: [Legacy Survey of Space and Time, expectedAlertRate, millions of alerts per night]
-
A.
terminationRate
Indicates the frequency or proportion at which something (such as a process, contract, or relationship) is ended or discontinued over a given context or time period.
-
B.
increasedRateOn
Indicates that one entity has raised the rate, fee, or charge applied to another entity.
-
C.
onsetRate
Indicates the rate at which an event, condition, or process begins or develops over time.
-
D.
expectedBenefit
Indicates the benefit or positive outcome that is anticipated to result from a particular action, decision, or relationship between entities.
-
E.
laterFrequency
Indicates that one event, state, or action occurs with a lower frequency than another in a temporal sequence.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d772e97cf88190a65dab3ec4e5f7f3 |
completed | April 9, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.