Triple
T10217669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arcadius |
E242487
|
entity |
| Predicate | issuedLaw |
P59204
|
FINISHED |
| Object | anti-pagan legislation continuing Theodosius I’s policies |
—
|
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: anti-pagan legislation continuing Theodosius I’s policies | Statement: [Arcadius, issuedLaw, anti-pagan legislation continuing Theodosius I’s policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issuedLaw Context triple: [Arcadius, issuedLaw, anti-pagan legislation continuing Theodosius I’s policies]
-
A.
legalAct
Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
-
B.
stateOfLaw
Indicates that a specified legal condition, rule, or status is currently in force or applicable within a given jurisdiction or context.
-
C.
enforcedLaw
Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
-
D.
legalCodePromulgatedBy
chosen
Indicates that a specific legal code was formally issued or enacted by a particular authority or governing body.
-
E.
introducedInLaws
Indicates that one entity caused another entity to meet or become acquainted with their in-laws.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa6e544c8190961cdd7f1fbe24e6 |
completed | April 6, 2026, 12:43 p.m. |
| PD | Predicate disambiguation | batch_69d3955f61f88190b8d37ff645cd44d3 |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:07 a.m.