Triple
T14295048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaska Court of Appeals |
E354416
|
entity |
| Predicate | alsoReviews |
P67205
|
FINISHED |
| Object | quasi-criminal matters |
—
|
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: quasi-criminal matters | Statement: [Alaska Court of Appeals, alsoReviews, quasi-criminal matters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoReviews Context triple: [Alaska Court of Appeals, alsoReviews, quasi-criminal matters]
-
A.
reviewAggregator
Indicates that an entity functions as a collector and summarizer of reviews or ratings about other entities.
-
B.
reviewType
chosen
Indicates the specific category or kind of review associated with an item, action, or relationship.
-
C.
reviewOf
Indicates that one entity is a critical or evaluative assessment that is about or directed toward another entity.
-
D.
reviewFrom
Indicates that a review is authored or provided by a particular source or entity.
-
E.
hasRecension
Indicates that one textual version or edition is a revised or alternative form of another text.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717b35ec81908968994e65737c66 |
completed | April 14, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.