Triple
T5395251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garden in Sochi |
E120636
|
entity |
| Predicate | hasThematicConcern |
P62989
|
FINISHED |
| Object | nostalgia |
—
|
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: nostalgia | Statement: [Garden in Sochi, hasThematicConcern, nostalgia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThematicConcern Context triple: [Garden in Sochi, hasThematicConcern, nostalgia]
-
A.
strategicConcernFor
Indicates a relationship where one entity considers another entity’s situation, actions, or outcomes important for its own long-term goals, risks, or strategic interests.
-
B.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
C.
hasConceptualIssue
Indicates that one entity has a problem, flaw, or inconsistency in its underlying idea, theory, or conceptual basis in relation to another entity.
-
D.
hasManagementConcern
Indicates that one entity has responsibility, authority, or involvement in overseeing, directing, or managing another entity or activity.
-
E.
hasThematicPavilion
Indicates that an entity includes or is associated with a specific thematic pavilion as part of its structure or offerings.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8745c10c8190afa72894014c37d1 |
completed | March 20, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69bd8463a9c88190bd760378f3026180 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd853005088190b1b092a9beb090b2 |
completed | March 20, 2026, 5:34 p.m. |
Created at: March 20, 2026, 2:04 p.m.