Triple
T32769051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gagarin's Start |
E837982
|
entity |
| Predicate | geopoliticalContextAtFirstLaunch |
P21031
|
FINISHED |
| Object | Soviet Union |
—
|
NE NERFINISHED |
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: Soviet Union | Statement: [Gagarin's Start, geopoliticalContextAtFirstLaunch, Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geopoliticalContextAtFirstLaunch Context triple: [Gagarin's Start, geopoliticalContextAtFirstLaunch, Soviet Union]
-
A.
geopoliticalOrigin
chosen
Indicates the geopolitical entity (such as a country, region, or state) from which something or someone originates or is associated.
-
B.
geopoliticalScope
Indicates the geographic or political area within which an entity’s authority, relevance, or effect is defined or applies.
-
C.
geopoliticalOrganizationContext
Indicates the contextual relationship in which a geopolitical organization operates, such as its role, scope, or relevance within a specific geopolitical setting or situation.
-
D.
geopoliticalResult
Indicates the outcome or consequence of a geopolitical event, action, or interaction between political entities.
-
E.
geopoliticalContextInText
Indicates that a geopolitical situation, relationship, or setting is being referenced or described within a span of text.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:13 a.m.