Triple
T12553671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Street Judge |
E300159
|
entity |
| Predicate | canSentence |
P2463
|
FINISHED |
| Object | on-the-spot imprisonment |
—
|
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: on-the-spot imprisonment | Statement: [Street Judge, canSentence, on-the-spot imprisonment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canSentence Context triple: [Street Judge, canSentence, on-the-spot imprisonment]
-
A.
canBe
chosen
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
B.
sentenceOf
Indicates that one entity is a sentence that belongs to, is contained in, or is part of another larger text or document.
-
C.
canMake
Indicates that one entity has the ability or capacity to create, produce, or assemble another entity.
-
D.
sentence
Indicates that one entity is a sentence that expresses, contains, or encodes information about another entity.
-
E.
canSend
Indicates that one entity has the ability or permission to send something (such as a message, item, or data) to another entity.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:58 p.m.