Triple
T21122200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zelenih beretki street |
E520459
|
entity |
| Predicate | hasAlternativeScript |
P57346
|
FINISHED |
| Object | Cyrillic script |
—
|
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: Cyrillic script | Statement: [Zelenih beretki street, hasAlternativeScript, Cyrillic script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeScript Context triple: [Zelenih beretki street, hasAlternativeScript, Cyrillic script]
-
A.
hasAlternativeVocalization
Indicates that an entity has another valid way it can be vocalized or pronounced, distinct from its primary or standard vocalization.
-
B.
hasAlternativeNotation
chosen
Indicates that an entity can be represented or written in a different, equivalent form or notation.
-
C.
hasAlternativeReferent
Indicates that an entity can also be referred to or identified by an alternative name, label, or reference.
-
D.
hasAlternativeReconstruction
Indicates that there exists another possible way to reconstruct or represent the same underlying entity, structure, or configuration.
-
E.
hasAlternativeMedium
Indicates that an entity is available, expressed, or presented in another medium or format as an alternative to its primary one.
- 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_69e7223587008190a2b35ea06cf6508b |
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, 2:55 p.m.