Triple
T31056292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASBO |
E791406
|
entity |
| Predicate | introducedUnderAct |
P156610
|
FINISHED |
| Object | Crime and Disorder Act 1998 |
—
|
NE NERFINISHED |
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: Crime and Disorder Act 1998 | Statement: [ASBO, introducedUnderAct, Crime and Disorder Act 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedUnderAct Context triple: [ASBO, introducedUnderAct, Crime and Disorder Act 1998]
-
A.
introducedByLaw
Indicates that something (such as a rule, measure, or change) came into effect or was established as a result of a specific law being enacted.
-
B.
legislatedUnder
Indicates that a law, regulation, or policy was created, enacted, or established according to the authority, framework, or provisions of a specific higher-level law or legal regime.
-
C.
madeUnderAct
chosen
Indicates that something was created, established, or carried out in accordance with a specific legal act or statute.
-
D.
introducedInLaws
Indicates that one entity caused another entity to meet or become acquainted with their in-laws.
-
E.
introducedUnderTreasurer
Indicates that one entity formally introduced or presented another entity while serving in the role of Under Treasurer.
- 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_69f224cb08908190ba71ad9aa87518ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: April 29, 2026, 9 p.m.