Triple
T35048915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prairie Box |
E1011279
|
entity |
| Predicate | typicalPeriodOfUse |
P84192
|
FINISHED |
| Object | early 20th century |
—
|
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: early 20th century | Statement: [Prairie Box, typicalPeriodOfUse, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPeriodOfUse Context triple: [Prairie Box, typicalPeriodOfUse, early 20th century]
-
A.
typicalPeriod
chosen
Indicates the usual or characteristic time interval or duration associated with an event, process, or state.
-
B.
hasTypicalUseTime
Indicates the usual or expected duration or time period during which something is commonly used or in operation.
-
C.
typicalUseDays
Indicates the usual or expected number of days over which something is used or intended to be used.
-
D.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
-
E.
typicalUsagePhase
Indicates the phase or stage in which something is most commonly or characteristically used.
- 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.