Triple
T4331085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wireless Emergency Alerts system |
E96748
|
entity |
| Predicate | alertTone |
P31706
|
FINISHED |
| Object | distinctive attention signal |
—
|
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: distinctive attention signal | Statement: [Wireless Emergency Alerts system, alertTone, distinctive attention signal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alertTone Context triple: [Wireless Emergency Alerts system, alertTone, distinctive attention signal]
-
A.
alarmSignal
chosen
Indicates that an alarm or warning signal is being emitted, triggered, or active in response to some condition or event.
-
B.
alertSystem
Indicates that a system is configured to detect conditions and generate alerts or notifications in response.
-
C.
alertMethod
Indicates the method or channel through which an alert or notification is delivered from a source to a recipient.
-
D.
hasEmergencyAlarm
Indicates that an entity is equipped with or associated with an emergency alarm system that can be activated in urgent situations.
-
E.
warningCall
Indicates that one entity initiates a call to another specifically to warn them about a danger, risk, or important cautionary information.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.