Triple
T35615299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Mammals (Protection) Act 1996 |
E1029148
|
entity |
| Predicate | offence |
P161364
|
FINISHED |
| Object | mutilating a wild mammal |
—
|
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: mutilating a wild mammal | Statement: [Wild Mammals (Protection) Act 1996, offence, mutilating a wild mammal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offence Context triple: [Wild Mammals (Protection) Act 1996, offence, mutilating a wild mammal]
-
A.
offense
Indicates that one entity commits, causes, or is responsible for a violation, wrongdoing, or rule-breaking act against another entity or governing norms.
-
B.
offenseAgainst
Indicates that one party has committed a harmful, illegal, or rule-violating act directed against another party or entity.
-
C.
offenseDescription
chosen
Indicates the specific nature or characterization of an offense, typically summarizing what violation or wrongdoing occurred.
-
D.
offensiveCategory
Indicates that something belongs to a category characterized by offensive, insulting, or otherwise inappropriate content or behavior.
-
E.
offenceCognizable
Indicates that the offence is of a type for which police may initiate investigation and arrest without requiring prior permission or a warrant from a magistrate.
- 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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79eea29208190a9928ee5dbabef73 |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.