Triple
T8768970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gagarin Square |
E208407
|
entity |
| Predicate | monumentDepicts |
P85290
|
FINISHED |
| Object | Yuri Gagarin in a spacesuit |
—
|
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: Yuri Gagarin in a spacesuit | Statement: [Gagarin Square, monumentDepicts, Yuri Gagarin in a spacesuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monumentDepicts Context triple: [Gagarin Square, monumentDepicts, Yuri Gagarin in a spacesuit]
-
A.
monumentSubject
Indicates that the subject serves as the monument or commemorative structure associated with another entity.
-
B.
monumentType
Indicates the specific kind or category of monument that an entity is classified as.
-
C.
otherMonuments
Indicates that there exists a relationship between an entity and additional monuments that are associated with or related to it in some relevant way.
-
D.
monumentGroup
Indicates that one monument belongs to, or is categorized within, a specific group or collection of monuments.
-
E.
builtMonument
Indicates that one entity constructed or created a monument in honor of, or related to, another entity.
- F. None of above. chosen
Provenance (4 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5eec49708190ba760d81a7974c50 |
completed | March 31, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:41 p.m.