Triple
T20063966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | space VLBI |
E499557
|
entity |
| Predicate | usesBaselineLengthsUpTo |
P55279
|
FINISHED |
| Object | hundreds of thousands of kilometers |
—
|
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: hundreds of thousands of kilometers | Statement: [space VLBI, usesBaselineLengthsUpTo, hundreds of thousands of kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBaselineLengthsUpTo Context triple: [space VLBI, usesBaselineLengthsUpTo, hundreds of thousands of kilometers]
-
A.
hasBaselineLength
Indicates that one entity has a specified baseline length measurement in relation to another entity or reference.
-
B.
usesBaseline
chosen
Indicates that one entity relies on or applies another entity as a reference baseline for comparison, measurement, or evaluation.
-
C.
usesMatchLength
Indicates that one entity applies or enforces the same length or duration as that of a corresponding match or matching element.
-
D.
baseLengthOriginal
Indicates the original or initial length value of a base element before any changes or transformations.
-
E.
maximumExtentFromBaseline
Indicates the greatest distance or deviation of something from a defined baseline reference.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66377b6b48190a0a37279f285123e |
completed | April 20, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:39 p.m.