Triple
T28563271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACE |
E722604
|
entity |
| Predicate | leadTimeTypical |
P164641
|
FINISHED |
| Object | about 30 to 60 minutes |
—
|
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: about 30 to 60 minutes | Statement: [ACE, leadTimeTypical, about 30 to 60 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadTimeTypical Context triple: [ACE, leadTimeTypical, about 30 to 60 minutes]
-
A.
typicalCompletionTimeInWeeks
Indicates the usual number of weeks it takes to complete the associated task, process, or activity.
-
B.
typicalDelivery
Indicates the usual or standard way in which something is delivered, reflecting the most common delivery method or pattern in that context.
-
C.
typicalLength
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
D.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
E.
peakDeliveryTime
Indicates the time period during which deliveries are expected to be at their highest volume or frequency.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6508cd720819085534e8463334767 |
completed | May 2, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 28, 2026, 4:06 a.m.