Triple
T125419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wheaton Reports |
E2536
|
entity |
| Predicate | reporterStyle |
P4970
|
FINISHED |
| Object | nominative citation style |
—
|
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: nominative citation style | Statement: [Wheaton Reports, reporterStyle, nominative citation style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reporterStyle Context triple: [Wheaton Reports, reporterStyle, nominative citation style]
-
A.
reporter
Indicates that an entity acts in the role of a reporter, typically gathering, writing, or presenting information or news about another entity or event.
-
B.
citationStyle
Indicates the specific formatting and referencing conventions used to cite sources in a document or publication.
-
C.
signatureStyle
Indicates the characteristic way in which an entity typically signs its name or marks documents, distinguishing its unique signing pattern or format.
-
D.
usedWithStyle
Indicates that something is employed or applied in conjunction with a particular style or stylistic manner.
-
E.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
- 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.