Triple
T26391584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shout mental health text service |
E663425
|
entity |
| Predicate | availableHours |
P10068
|
FINISHED |
| Object | 24/7 |
—
|
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: 24/7 | Statement: [Shout mental health text service, availableHours, 24/7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: availableHours Context triple: [Shout mental health text service, availableHours, 24/7]
-
A.
hoursOfOperation
chosen
Indicates the time periods during which a place or service is open and available for use.
-
B.
timeSlotOfWorks
Indicates the specific time period or interval during which the works (e.g., tasks, events, or activities) are scheduled or take place.
-
C.
openingHoursCharacteristic
Indicates a relationship that specifies particular attributes or features of an entity’s opening hours, such as patterns, exceptions, or special conditions.
-
D.
openingTime
Indicates the time at which a place, service, or event begins operating or becomes accessible.
-
E.
peakHours
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 26, 2026, 11:26 p.m.