Triple
T125626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Court Reporter |
E2543
|
entity |
| Predicate | isCommercialPublication |
P4980
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Supreme Court Reporter, isCommercialPublication, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCommercialPublication Context triple: [Supreme Court Reporter, isCommercialPublication, true]
-
A.
publicationType
Indicates the specific category or format of a published work that characterizes how it is issued or presented.
-
B.
hasPublication
Indicates that an entity is associated with or responsible for a specific publication.
-
C.
hasPublisher
Indicates that an entity is published or issued by a specific publisher.
-
D.
publishedIn
Indicates that a work (such as an article, paper, or book) has been formally released or made available within a specific venue, medium, or publication.
-
E.
commercializedIn
Indicates that something has been brought to market or made available for commercial sale or use within a specified place or context.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a2573e4e6481908252dfef2e34f46e |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564a54948190ba30bee858173b27 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256ea776081908fec36c3fdfb8d84 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.