Triple
T7414565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California attorneys |
E171097
|
entity |
| Predicate | canPracticeArea |
P17432
|
FINISHED |
| Object | civil 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: civil law | Statement: [California attorneys, canPracticeArea, civil law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canPracticeArea Context triple: [California attorneys, canPracticeArea, civil law]
-
A.
practicedLawIn
Indicates that a person engaged in the professional practice of law within a specified jurisdiction or location.
-
B.
regionOfPractice
Indicates the geographic area or jurisdiction in which an entity regularly conducts its professional activities or services.
-
C.
hasPracticeFields
chosen
Indicates that an entity possesses or is associated with one or more designated fields or areas used for practice activities.
-
D.
isPracticedAt
Indicates that an activity, skill, or discipline is regularly performed or carried out at a particular location or context.
-
E.
hasLanguageOfPractice
Indicates that an entity uses or operates in a particular language as its regular or primary medium of practice.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c509ac8190876f207267a33a3b |
completed | March 27, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.