Triple
T10438016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. President |
E246091
|
entity |
| Predicate | correspondingTitleInRomanian |
P52673
|
FINISHED |
| Object | Domnule Președinte |
—
|
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: Domnule Președinte | Statement: [Mr. President, correspondingTitleInRomanian, Domnule Președinte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondingTitleInRomanian Context triple: [Mr. President, correspondingTitleInRomanian, Domnule Președinte]
-
A.
titleInRomanian
chosen
Indicates that an entity’s title or name is expressed in the Romanian language.
-
B.
nameInRomanian
Indicates that one entity is the Romanian-language name or designation of another entity.
-
C.
equivalentTitleInPolish
Indicates that one entity has a title in Polish that is equivalent in meaning or status to the title of another entity.
-
D.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
E.
titleInLocalLanguage
Indicates that an entity’s title is expressed in the primary or native language of a specified place or community.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe083cd881909d2d8ad75d1d94cb |
completed | April 7, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69d4fb73a5e48190a8df4775bc5da80f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:14 p.m.