Triple
T37485631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall-effect thrusters |
E931521
|
entity |
| Predicate | earlyDevelopmentCountry |
P188388
|
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: [Hall-effect thrusters, earlyDevelopmentCountry, Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyDevelopmentCountry Context triple: [Hall-effect thrusters, earlyDevelopmentCountry, Soviet Union]
-
A.
coDevelopmentCountry
Indicates that two or more countries jointly participated in the development of a project, product, or initiative.
-
B.
isLessDevelopedThan
Indicates that one entity has a lower level of development, progress, or advancement compared to another entity.
-
C.
developmentCountry
Indicates that one entity is a country that is in the process of economic, social, or infrastructural development, often relative to more industrialized nations.
-
D.
isLessDevelopedArea
Indicates that one area has a lower level of development (e.g., economic, infrastructural, or social) compared to another or to a defined standard.
-
E.
isLargelyUndeveloped
Indicates that something has not been significantly developed, improved, or built up, remaining mostly in its original or primitive state.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba67f78348190ab160988e4698394 |
completed | May 6, 2026, 8:37 p.m. |
Created at: May 3, 2026, 4:17 p.m.