Triple
T29913094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Civil Legal Aid (Washington) |
E759721
|
entity |
| Predicate | notInvolvedIn |
P3971
|
FINISHED |
| Object | criminal defense services |
—
|
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: criminal defense services | Statement: [Office of Civil Legal Aid (Washington), notInvolvedIn, criminal defense services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notInvolvedIn Context triple: [Office of Civil Legal Aid (Washington), notInvolvedIn, criminal defense services]
-
A.
notAbout
Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
-
B.
doesNotParticipateIn
chosen
Indicates that an entity is explicitly not involved in, associated with, or taking part in a specified activity, event, or process.
-
C.
stillInvolvedIn
Indicates that an entity continues to participate in or be associated with a particular activity, role, or relationship at the present time.
-
D.
hasBeenInvolvedIn
Indicates that an entity has participated in, taken part in, or been connected to a particular event, activity, or situation.
-
E.
notTouchedBy
Indicates that one entity has not made physical contact with 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6775b7e54819083176ce918b32eec |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:11 p.m.