Triple
T36827570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speaker of the Sabor |
E910050
|
entity |
| Predicate | hasTitleInCroatian |
P15390
|
FINISHED |
| Object | Predsjednik Hrvatskoga sabora |
—
|
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: Predsjednik Hrvatskoga sabora | Statement: [Speaker of the Sabor, hasTitleInCroatian, Predsjednik Hrvatskoga sabora]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleInCroatian Context triple: [Speaker of the Sabor, hasTitleInCroatian, Predsjednik Hrvatskoga sabora]
-
A.
hasTitleInEnglishOrthography
Indicates that an entity has a specific title expressed using English spelling and writing conventions.
-
B.
hasTitleInEsperanto
Indicates that an entity has a specific title expressed in the Esperanto language.
-
C.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
D.
hasTitleInLanguage
chosen
Indicates that an entity has a specific title expressed in a particular language.
-
E.
hasLatinTitleOf
Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another entity.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: May 3, 2026, 4:13 p.m.