Triple
T36232427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rothair |
E891281
|
entity |
| Predicate | legalCodeJurisdiction |
P198943
|
FINISHED |
| Object | Lombard subjects in Italy |
—
|
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: Lombard subjects in Italy | Statement: [Rothair, legalCodeJurisdiction, Lombard subjects in Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalCodeJurisdiction Context triple: [Rothair, legalCodeJurisdiction, Lombard subjects in Italy]
-
A.
legalLicenseJurisdiction
Indicates the legal authority or geographic area under whose laws a particular license is granted, valid, or enforced.
-
B.
legalCodeFamily
chosen
Indicates that one legal code belongs to, or is categorized under, a broader family or system of related legal codes.
-
C.
legalCodeFocus
Indicates that something is specifically concerned with, centered on, or primarily addressing a particular legal code or body of law.
-
D.
legalJurisdiction
Indicates the legal authority or geographic area whose laws and courts have the power to govern, regulate, or adjudicate matters involving the related entities.
-
E.
legalProtectionJurisdiction
Indicates the jurisdiction or legal authority under which an entity is granted legal protection.
- 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_69f76e4387048190a1b27bcbf4ec7423 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffbb1c5bf88190a0bf791213045885 |
completed | May 9, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69ffba0ab0f881908f84ef81f7a1bfe8 |
completed | May 9, 2026, 10:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.