Triple
T28943541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GW150914 |
E730519
|
entity |
| Predicate | falseAlarmProbability |
P166048
|
FINISHED |
| Object | less than 1 in 200000 |
—
|
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: less than 1 in 200000 | Statement: [GW150914, falseAlarmProbability, less than 1 in 200000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: falseAlarmProbability Context triple: [GW150914, falseAlarmProbability, less than 1 in 200000]
-
A.
falsePositiveMeaning
Indicates that something has been incorrectly identified as positive or present when it is actually negative or absent.
-
B.
falseNorthing
Indicates a coordinate reference system parameter specifying a constant value added to all northing (north–south) coordinates, often used to avoid negative values.
-
C.
falseNegativeMeaning
Indicates that an instance where a condition or property is actually present has been incorrectly classified or recognized as absent.
-
D.
falseFor
Indicates that a given statement or proposition does not hold true or is invalid specifically in the context of the referenced entity or situation.
-
E.
failureRate
Indicates the proportion or frequency at which a system, component, or process fails over a specified set of operations or time period.
- 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_69f043ea0aa88190a25acbf46157995a |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65bb75cd08190bbdb63c093ad6210 |
completed | May 2, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 8:38 a.m.