Triple
T1471830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acoustics Today |
E27150
|
entity |
| Predicate | articleStyle |
P6001
|
FINISHED |
| Object | non-technical overview |
—
|
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: non-technical overview | Statement: [Acoustics Today, articleStyle, non-technical overview]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: articleStyle Context triple: [Acoustics Today, articleStyle, non-technical overview]
-
A.
articleType
chosen
Indicates the specific category or kind of article associated with an entity.
-
B.
authorStyle
Indicates the stylistic characteristics or manner of expression associated with a particular author in their works.
-
C.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
-
D.
article7FocusesOn
Indicates that the subject (e.g., Article 7) primarily addresses, concentrates on, or is dedicated to the topic or entity specified by the object.
-
E.
articleIISubject
Indicates that the entity functions as the grammatical subject of a sentence governed by Article II.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5db55948190ae5262a70a161b87 |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:01 p.m.