Triple
T27825156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soyuz TM-12 |
E702932
|
entity |
| Predicate | carriedNationality |
P25217
|
FINISHED |
| Object | Soviet |
—
|
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: Soviet | Statement: [Soyuz TM-12, carriedNationality, Soviet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriedNationality Context triple: [Soyuz TM-12, carriedNationality, Soviet]
-
A.
bearerNationality
chosen
Indicates that one entity is the country or nationality associated with the bearer of another entity, such as a document or credential.
-
B.
nationalityClaimedAs
Indicates that an entity asserts or is recorded as having a particular nationality, regardless of its legal or factual status.
-
C.
ownerNationality
Indicates that the owner of an entity has the specified nationality.
-
D.
nationalityInCoverIdentity
Indicates that an entity’s assumed or cover identity is associated with a particular nationality.
-
E.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
- 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 5:51 p.m.