Triple
T4331086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wireless Emergency Alerts system |
E96748
|
entity |
| Predicate | vibrationPattern |
P55601
|
FINISHED |
| Object | distinctive vibration cadence |
—
|
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 vibration cadence | Statement: [Wireless Emergency Alerts system, vibrationPattern, distinctive vibration cadence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vibrationPattern Context triple: [Wireless Emergency Alerts system, vibrationPattern, distinctive vibration cadence]
-
A.
hasHDVibration
Indicates that an entity provides or supports high-definition (precise, nuanced) vibration feedback in its interactions or operations.
-
B.
bellPattern
Indicates that one entity exhibits or follows a bell-shaped or bell-like pattern in relation to another entity or variable.
-
C.
kitPattern
Indicates the design or visual pattern featured on a team's kit or uniform.
-
D.
hasWindPattern
Indicates that one entity exhibits, is characterized by, or is associated with a particular pattern of wind behavior.
-
E.
dancePattern
Indicates a recurring or structured way in which an entity performs or organizes a dance or sequence of dance movements.
- 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_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. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:13 p.m.