Triple
T6772772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fair Debt Collection Practices Act |
E155081
|
entity |
| Predicate | standardContactHours |
P7784
|
FINISHED |
| Object | generally 8 a.m. to 9 p.m. local time |
—
|
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: generally 8 a.m. to 9 p.m. local time | Statement: [Fair Debt Collection Practices Act, standardContactHours, generally 8 a.m. to 9 p.m. local time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardContactHours Context triple: [Fair Debt Collection Practices Act, standardContactHours, generally 8 a.m. to 9 p.m. local time]
-
A.
hoursOfOperation
Indicates the time periods during which a place or service is open and available for use.
-
B.
openingHoursCharacteristic
Indicates a relationship that specifies particular attributes or features of an entity’s opening hours, such as patterns, exceptions, or special conditions.
-
C.
peakHours
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
-
D.
typicalBusinessHourStartLocalTime
chosen
Indicates the local time at which a business’s normal operating hours typically begin.
-
E.
usedInBusinessHours
Indicates that something is utilized or occurs during designated business operating hours.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24aaf948190a544cc28b7de67c4 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:13 p.m.