Triple
T37035659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kievskaya (Arbatsko–Pokrovskaya line) |
E916626
|
entity |
| Predicate | hasOriginalAlphabet |
P170848
|
FINISHED |
| Object | Cyrillic |
—
|
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 | Statement: [Kievskaya (Arbatsko–Pokrovskaya line), hasOriginalAlphabet, Cyrillic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalAlphabet Context triple: [Kievskaya (Arbatsko–Pokrovskaya line), hasOriginalAlphabet, Cyrillic]
-
A.
previouslyUsedAlphabet
Indicates that an entity once employed a particular alphabet in the past, but no longer uses it as its current writing system.
-
B.
alphabetOfOriginalName
chosen
Indicates that one entity specifies the writing system or script used to represent the original form of another entity’s name.
-
C.
usesAlphabet
Indicates that one entity employs or is written using the alphabet or writing system associated with another entity.
-
D.
hasOriginalCharacter
Indicates that an entity includes, features, or is associated with an original character distinct from pre-existing or canonical characters.
-
E.
hasOriginalWritingSystem
Indicates that an entity possesses or is associated with a primary, native, or first-developed writing system used to represent its language or content.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff136ed2a881908f713401083970d1 |
completed | May 9, 2026, 10:58 a.m. |
| PD | Predicate disambiguation | batch_69ff10f9e3448190b6cb6ea5a67713c1 |
completed | May 9, 2026, 10:48 a.m. |
Created at: May 3, 2026, 4:14 p.m.