Triple
T19107458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fraud Act 2006 |
E467692
|
entity |
| Predicate | definesFraudByFailingToDiscloseInformationIn |
P134412
|
FINISHED |
| Object | Section 3 |
—
|
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: Section 3 | Statement: [Fraud Act 2006, definesFraudByFailingToDiscloseInformationIn, Section 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesFraudByFailingToDiscloseInformationIn Context triple: [Fraud Act 2006, definesFraudByFailingToDiscloseInformationIn, Section 3]
-
A.
discloses
Indicates that one entity reveals, makes known, or provides previously non-public information to another entity or to the public.
-
B.
penaltyForRevealingSecrets
Indicates that an entity incurs a punishment or negative consequence as a result of disclosing confidential or secret information.
-
C.
refusedToExplain
Indicates that an entity declined or failed to provide an explanation about something to another entity or audience.
-
D.
usedMeansOfDeception
Indicates that one entity employed a particular method or tool specifically to deceive another entity.
-
E.
misrepresentedAs
Indicates that one entity is falsely or inaccurately presented, portrayed, or described as another entity or in another way.
- F. None of above. chosen
Provenance (4 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e391245c8190b1393577b61c4f76 |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.