Triple
T644338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow State University |
E11207
|
entity |
| Predicate | mainBuildingCompletionDate |
P14622
|
FINISHED |
| Object | 1953 |
—
|
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: 1953 | Statement: [Moscow State University, mainBuildingCompletionDate, 1953]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainBuildingCompletionDate Context triple: [Moscow State University, mainBuildingCompletionDate, 1953]
-
A.
buildingInaugurationDate
chosen
Indicates the date on which a building was formally opened or inaugurated.
-
B.
mainBuildingName
Indicates the name that is designated as the primary or main building associated with an entity.
-
C.
constructionStartYear
Indicates the calendar year in which the construction of something was begun.
-
D.
constructionCompleted
Indicates that a construction process or project has been fully finished and reached its completed state.
-
E.
originalBuildingConstructed
Indicates that a particular building was initially constructed in its original form or configuration.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f18216081908331aa12dac40214 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0a0ab481909871461418a00be7 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.