Triple
T3787583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Era |
E85564
|
entity |
| Predicate | replacedTermInSecularUsage |
P6280
|
FINISHED |
| Object | Anno Domini |
—
|
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: Anno Domini | Statement: [Common Era, replacedTermInSecularUsage, Anno Domini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedTermInSecularUsage Context triple: [Common Era, replacedTermInSecularUsage, Anno Domini]
-
A.
usedTerm
Indicates that one entity employed, referenced, or applied a particular term in some context.
-
B.
termAlsoUsedFor
Indicates that one term is also used to refer to the same or closely related concept as another term.
-
C.
usedInsteadOf
chosen
Indicates that one entity is employed or chosen as a substitute or replacement for another entity.
-
D.
coinedTerm
Indicates that an entity originated and introduced a particular term or expression into use.
-
E.
languageTerm
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
Created at: March 9, 2026, 3:13 p.m.