Triple
T28410968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marsic people |
E719659
|
entity |
| Predicate | citizenshipGrantedUnder |
P4308
|
FINISHED |
| Object | Lex Julia |
—
|
NE NERFINISHED |
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: Lex Julia | Statement: [Marsic people, citizenshipGrantedUnder, Lex Julia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipGrantedUnder Context triple: [Marsic people, citizenshipGrantedUnder, Lex Julia]
-
A.
grantedCitizenshipBy
Indicates that one entity has officially conferred citizenship status upon another entity.
-
B.
citizenshipGrantedYear
Indicates the specific year in which an entity was officially granted citizenship.
-
C.
laterCitizenship
Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
-
D.
citizenshipBasedOn
Indicates that an entity’s citizenship is determined or derived from another specified factor, condition, or relationship.
-
E.
acquireCitizenshipBy
chosen
Indicates the process or means by which an entity obtains or is granted citizenship through a specific method, action, or legal basis.
- 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_69eff6f0f37c8190b37bc6fab08a9449 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 1:26 a.m.