Triple
T2827877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vipsania Agrippina |
E54966
|
entity |
| Predicate | causeOfDivorce |
P13503
|
FINISHED |
| Object | political reasons ordered by Augustus |
—
|
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: political reasons ordered by Augustus | Statement: [Vipsania Agrippina, causeOfDivorce, political reasons ordered by Augustus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfDivorce Context triple: [Vipsania Agrippina, causeOfDivorce, political reasons ordered by Augustus]
-
A.
divorceReason
chosen
Indicates the reason or cause for which a marriage ended in divorce between two individuals.
-
B.
divorceEffect
Indicates the legal and relational consequences that result from a divorce between two parties.
-
C.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
D.
spouseRelationshipEnd
Indicates that a marital relationship between two individuals has ended, such as through divorce, annulment, or separation.
-
E.
mainFamilyLaw
Indicates that one entity serves as the primary governing family-law framework, rule, or authority for another entity (such as a case, jurisdiction, or legal matter).
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde95d8148190bcae8b0659a5c116 |
completed | March 7, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.