Triple
T21125468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zlaten Venec na Poezijata |
E520545
|
entity |
| Predicate | hasAwardTitleLanguage |
P17628
|
FINISHED |
| Object | Macedonian |
—
|
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: Macedonian | Statement: [Zlaten Venec na Poezijata, hasAwardTitleLanguage, Macedonian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardTitleLanguage Context triple: [Zlaten Venec na Poezijata, hasAwardTitleLanguage, Macedonian]
-
A.
awardNameLanguage
chosen
Indicates the language in which the name of an award is expressed.
-
B.
hasTitleInLanguage
Indicates that an entity has a specific title expressed in a particular language.
-
C.
officialLanguageOfTitle
Indicates that a specified language is the officially designated language associated with a particular title or position.
-
D.
languageOfAwardAdministration
Indicates the language used to administer, manage, or conduct the award process.
-
E.
officialTitleInLanguage
Indicates that an entity’s official title or designation is expressed in a specified language.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72238cf708190a4676c40deea2e46 |
completed | April 21, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:56 p.m.