Triple
T37720934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Exploration Initiative |
E939580
|
entity |
| Predicate | reasonForLimitedImplementation |
P81260
|
FINISHED |
| Object | high projected cost |
—
|
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: high projected cost | Statement: [Space Exploration Initiative, reasonForLimitedImplementation, high projected cost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForLimitedImplementation Context triple: [Space Exploration Initiative, reasonForLimitedImplementation, high projected cost]
-
A.
reasonForLimitedAdoption
chosen
Indicates the factor or explanation that accounts for why something has not been widely or fully adopted.
-
B.
reasonForPerformanceLimitation
Indicates that one factor serves as the cause or explanation for why a performance limitation occurs.
-
C.
reasonForMissingFeature
Indicates the explanation or cause for why a particular feature is absent or not implemented.
-
D.
hasLimitedDocumentation
Indicates that the subject is associated with documentation that is sparse, incomplete, or not sufficiently detailed.
-
E.
notImplementedBecause
Indicates that something has not been implemented and specifies the reason for its lack of implementation.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.