Triple
T264002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benefits Review Board |
E5814
|
entity |
| Predicate | cannotReview |
P9391
|
FINISHED |
| Object | state workers’ compensation claims |
—
|
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: state workers’ compensation claims | Statement: [Benefits Review Board, cannotReview, state workers’ compensation claims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotReview Context triple: [Benefits Review Board, cannotReview, state workers’ compensation claims]
-
A.
reviewedBy
Indicates that an item, work, or action has been examined and evaluated by a specific agent or reviewer.
-
B.
rejectedBy
Indicates that one entity has been refused, dismissed, or not accepted by another entity.
-
C.
reasonForDecline
Indicates the explanation or cause given for why something was rejected, reduced, or not accepted.
-
D.
canEnforce
Indicates that one entity has the authority or capability to compel compliance with rules, decisions, or obligations upon another entity.
-
E.
canRefer
Indicates that one entity has the ability or permission to mention, point to, or direct attention to another entity.
- 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_69a258dd8ea08190ac554a1cc8dfd8c3 |
completed | Feb. 28, 2026, 2:54 a.m. |
| NER | Named-entity recognition | batch_69a25d8e809881908a58c9a4e3ba07c3 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6e07748190834022a65ba6d803 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25d0ec71081908478c800be4f7bb0 |
completed | Feb. 28, 2026, 3:12 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.