Triple
T38204388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coins and Medals |
E1009155
|
entity |
| Predicate | hasScholarlyApproach |
P124963
|
FINISHED |
| Object | historical analysis |
—
|
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: historical analysis | Statement: [Coins and Medals, hasScholarlyApproach, historical analysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScholarlyApproach Context triple: [Coins and Medals, hasScholarlyApproach, historical analysis]
-
A.
isScholarly
Indicates that an entity exhibits characteristics of academic rigor, research-based inquiry, and adherence to scholarly standards or conventions.
-
B.
hasScholarlyReception
chosen
Indicates that a work has been the subject of scholarly analysis, discussion, or evaluation in academic or research contexts.
-
C.
scholarlyUse
Indicates that something is used for academic, educational, or research-related purposes.
-
D.
scholarlyView
Indicates that one entity holds an academic or research-based interpretation, opinion, or theoretical stance about another entity.
-
E.
scholarlyEmphasis
Indicates a relationship where an entity focuses its academic attention, research, or analysis predominantly on a particular subject, theme, or area of study.
- 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_69f76dc94fcc8190bd2f55e81f9d6527 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: May 3, 2026, 4:30 p.m.