Triple
T34756936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pittsburg County jail |
E1001951
|
entity |
| Predicate | sentenceLengthTypical |
P11478
|
FINISHED |
| Object | short-term sentences |
—
|
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: short-term sentences | Statement: [Pittsburg County jail, sentenceLengthTypical, short-term sentences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sentenceLengthTypical Context triple: [Pittsburg County jail, sentenceLengthTypical, short-term sentences]
-
A.
sentenceLength
Indicates the length or number of units (such as characters, words, or tokens) that a given sentence contains.
-
B.
typicalSentenceRange
chosen
Indicates the usual or most common range of sentence lengths (e.g., in years or months) typically imposed for a given offense or legal category.
-
C.
typicalSentenceType
Indicates the usual or most characteristic type of sentence associated with an entity, such as whether it is typically declarative, interrogative, imperative, or another sentence form.
-
D.
typicalLength
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
E.
sentenceDuration
Indicates the length of time for which a sentence (e.g., legal, temporal, or communicative) remains in effect or lasts.
- 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 3:59 p.m.