Triple
T30397539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wn. App. |
E773259
|
entity |
| Predicate | partOfCitationSystem |
P198729
|
FINISHED |
| Object | Washington official reporter system |
—
|
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: Washington official reporter system | Statement: [Wn. App., partOfCitationSystem, Washington official reporter system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCitationSystem Context triple: [Wn. App., partOfCitationSystem, Washington official reporter system]
-
A.
citationSystem
Indicates a relationship where one entity specifies or uses a particular system, style, or standard for formatting and managing citations.
-
B.
hasCitationSystem
Indicates that one entity uses, follows, or is governed by a particular citation or referencing system defined by another entity.
-
C.
citationRecognizedBy
Indicates that a citation has been acknowledged, accepted, or formally recognized by a particular entity or authority.
-
D.
citationType
Indicates the specific kind or category of citation relationship that one entity has to another (e.g., reference, quotation, acknowledgment).
-
E.
partOfAuthorBibliography
Indicates that a work is included in the set of publications that make up an author's bibliography.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
| PDg | Predicate description generation | batch_69ff02141dbc8190b00bcea2aa734b3a |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 29, 2026, 8:03 p.m.