Triple
T35612797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Библиотека имени Ленина |
E1029082
|
entity |
| Predicate | типФонда |
P113111
|
FINISHED |
| Object | универсальный |
—
|
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: универсальный | Statement: [Библиотека имени Ленина, типФонда, универсальный]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: типФонда Context triple: [Библиотека имени Ленина, типФонда, универсальный]
-
A.
funderType
Indicates the category or kind of organization or individual that provides funding in the relationship.
-
B.
typeOfWealthFund
chosen
Indicates the specific category or classification of a wealth fund (e.g., sovereign, pension, endowment) associated with an entity.
-
C.
fundedEntityType
Indicates the type or category of entity that receives funding in the described funding relationship.
-
D.
grantmakingType
Indicates the specific category or method by which grants are awarded or administered in a grantmaking relationship.
-
E.
foundedOrganizationType
Indicates that an entity established or created an organization of a specified type (e.g., company, nonprofit, institution).
- 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.