Triple
T4331067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wireless Emergency Alerts system |
E96748
|
entity |
| Predicate | initialMessageLengthLimit |
P52424
|
FINISHED |
| Object | 90 characters |
—
|
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: 90 characters | Statement: [Wireless Emergency Alerts system, initialMessageLengthLimit, 90 characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialMessageLengthLimit Context triple: [Wireless Emergency Alerts system, initialMessageLengthLimit, 90 characters]
-
A.
maximumBodyLength
chosen
Indicates that there is an upper limit on the allowable length or size of a body (e.g., content, message, or object) in this relationship or action.
-
B.
fileNameLimit
Indicates a constraint or maximum allowed length or format for a file’s name in a given context.
-
C.
gLimit
Indicates a constraint or maximum boundary imposed on the magnitude, rate, or extent of something within a given context.
-
D.
IVLength
Indicates the measured length of an intravenous (IV) line or catheter used in a medical context.
-
E.
maximumFileNameLength
Indicates the maximum number of characters allowed in a file name within a given system or context.
- 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.