Triple
T11027426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DVU (MPD-DC) |
E260662
|
entity |
| Predicate | lawArea |
P2167
|
FINISHED |
| Object | domestic violence law |
—
|
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: domestic violence law | Statement: [DVU (MPD-DC), lawArea, domestic violence law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawArea Context triple: [DVU (MPD-DC), lawArea, domestic violence law]
-
A.
legalArea
chosen
Indicates the specific field or branch of law that a legal matter, case, or document pertains to.
-
B.
lawLibrary
Indicates a relationship where a location or resource functions as a library specifically dedicated to legal materials, services, or research.
-
C.
branchOfLaw
Indicates a relationship where one legal field or discipline is a subdivision or specialized area within a broader body of law.
-
D.
legalBackground
Indicates that an entity has education, training, or experience related to law or the legal profession.
-
E.
law
Indicates that one entity establishes, embodies, or enforces a rule or system of rules governing the behavior or relations of 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797d190f08190bcb5949ee24306f1 |
completed | April 9, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69d7440087ac8190aef2e6f6b13b2635 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:25 p.m.