Triple
T35223286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moghiliov-Podolsk |
E1017017
|
entity |
| Predicate | RomanianNameOf |
P23117
|
FINISHED |
| Object | Mogilev-Podilskyi |
—
|
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: Mogilev-Podilskyi | Statement: [Moghiliov-Podolsk, RomanianNameOf, Mogilev-Podilskyi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RomanianNameOf Context triple: [Moghiliov-Podolsk, RomanianNameOf, Mogilev-Podilskyi]
-
A.
nameInRomanian
chosen
Indicates that one entity is the Romanian-language name or designation of another entity.
-
B.
nameDayInRomania
Indicates that an entity’s name day, as celebrated in Romanian tradition, occurs on a specified date.
-
C.
nameInLanguageRomanization
Indicates that an entity’s name is represented in the romanized (Latin-script) form of a particular language.
-
D.
CyrillicName
Indicates that an entity has a name written in the Cyrillic script.
-
E.
hasRomanName
Indicates that an entity is associated with or known by a name derived from or used in ancient Rome.
- 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_69f76de072908190ab65038a8a7b6a79 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:02 p.m.