Triple
T35612791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Библиотека имени Ленина |
E1029082
|
entity |
| Predicate | первоначальноеНазвание |
P136865
|
FINISHED |
| Object | Румянцевский музей |
—
|
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: Румянцевский музей | Statement: [Библиотека имени Ленина, первоначальноеНазвание, Румянцевский музей]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: первоначальноеНазвание Context triple: [Библиотека имени Ленина, первоначальноеНазвание, Румянцевский музей]
-
A.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
B.
originalTitleName
Indicates that one entity is the original or primary title name associated with another entity.
-
C.
nameInOriginalLanguage
Indicates that an entity’s name is given in its original or native language form.
-
D.
earlyTitleOf
chosen
Indicates that one entity served as an earlier or preliminary title for another entity.
-
E.
formerName
Indicates that an entity was previously known by a different name in the past.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ecbd7dc8190ad5a206b51394814 |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.