Triple
T19548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chappaquiddick incident |
E388
|
entity |
| Predicate | legalCharge |
P1779
|
FINISHED |
| Object | leaving the scene of an accident |
—
|
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: leaving the scene of an accident | Statement: [Chappaquiddick incident, legalCharge, leaving the scene of an accident]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalCharge Context triple: [Chappaquiddick incident, legalCharge, leaving the scene of an accident]
-
A.
legalSystem
Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
-
B.
legalBasis
Indicates the legal rule, authority, or justification under which an action, decision, or status is established or carried out.
-
C.
legalForm
Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
-
D.
publicLawNumber
Indicates the specific public law identifier associated with a legislative act or statute.
-
E.
legalRecognition
Indicates that an authority formally acknowledges the validity, status, or rights associated with an entity, relationship, or action under the law.
- 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_69a240778d288190815c0052ebbbcc91 |
completed | Feb. 28, 2026, 1:10 a.m. |
| NER | Named-entity recognition | batch_69a24703cb988190ad2bc181d27829e4 |
completed | Feb. 28, 2026, 1:38 a.m. |
| PD | Predicate disambiguation | batch_69a24650f1f0819081e638fafd18d687 |
completed | Feb. 28, 2026, 1:35 a.m. |
| PDg | Predicate description generation | batch_69a24702d4988190a54a4e578b7c919e |
completed | Feb. 28, 2026, 1:38 a.m. |
Created at: Feb. 28, 2026, 1:14 a.m.