Triple
T3787582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Era |
E85564
|
entity |
| Predicate | pairedWithAbbreviation |
P32259
|
FINISHED |
| Object | BCE |
—
|
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: BCE | Statement: [Common Era, pairedWithAbbreviation, BCE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pairedWithAbbreviation Context triple: [Common Era, pairedWithAbbreviation, BCE]
-
A.
pairedWithFunctionally
Indicates that one entity is functionally matched or coupled with another to perform a complementary or corresponding role.
-
B.
abbreviationUsedFor
Indicates that a particular shortened form or acronym is used to represent or stand in for a longer term, name, or expression.
-
C.
isUsedInAbbreviation
Indicates that one entity functions as a shortened or abbreviated form of another entity.
-
D.
previousAbbreviation
Indicates that one abbreviation was used earlier or previously in place of another for the same entity or term.
-
E.
isCommonAbbreviation
chosen
Indicates that one term is a widely used shortened or abbreviated form of another term.
- 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.