Triple
T1927546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volgograd State University |
E40865
|
entity |
| Predicate | hasDormitory |
P17960
|
FINISHED |
| Object | student residence halls |
—
|
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: student residence halls | Statement: [Volgograd State University, hasDormitory, student residence halls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDormitory Context triple: [Volgograd State University, hasDormitory, student residence halls]
-
A.
hasAccommodation
chosen
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
-
B.
hasDeanResidence
Indicates that a person holds the position of dean at a particular residence or residential unit.
-
C.
hasRoom
Indicates that an entity possesses, contains, or is associated with a specific room.
-
D.
hasHomeLockerRoomFor
Indicates that one entity serves as the designated home locker room facility for another entity, such as a team or organization.
-
E.
hasHouse
Indicates that one entity possesses, owns, or is provided with a house in relation to another entity.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb263cdb8819084d0bda98a2a71e0 |
completed | March 7, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.